From 0684dbc521dcad3a79065cc263c926df77494e39 Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 11:28:49 -0800
Subject: [PATCH 1/9] refactor(tools): Refactor tool provider system for MCP
 support

- Introduce Tool model combining schema, metadata, and invoke callable
- Move ToolCapability, ToolMetadata, and ToolDefinition to tools/models.py
- Add automatic wiring in ToolProvider.tools() that binds tool names to methods
- Update all providers to use create_tool_schemas() + method pattern
- Standardize provider_name as @property across all providers
- Rename redis_cli provider to redis_command
- Update documentation and tests to match new patterns
- Fix pre-existing linting issues (N806, N814, E402)
---
 docs/how-to/tool-providers.md                 |   22 +-
 pyproject.toml                                |   36 +-
 redis_sre_agent/agent/helpers.py              |   50 +-
 redis_sre_agent/agent/knowledge_agent.py      |   52 +-
 redis_sre_agent/agent/langgraph_agent.py      |  176 +-
 .../agent/subgraphs/recommendation_worker.py  |    2 +-
 .../agent/subgraphs/safety_fact_corrector.py  |    2 +-
 redis_sre_agent/api/app.py                    |    2 +-
 redis_sre_agent/api/health.py                 |    2 +-
 redis_sre_agent/api/instances.py              |   15 +-
 redis_sre_agent/api/threads.py                |   25 +-
 redis_sre_agent/cli/instance.py               |    7 +-
 redis_sre_agent/cli/main.py                   |    2 +-
 redis_sre_agent/cli/schedules.py              |    8 +-
 redis_sre_agent/cli/tasks.py                  |   10 +-
 redis_sre_agent/cli/threads.py                |   75 +-
 redis_sre_agent/cli/worker.py                 |    5 +-
 redis_sre_agent/core/docket_tasks.py          |   14 +-
 redis_sre_agent/core/instances.py             |   18 +-
 redis_sre_agent/core/redis.py                 |    2 +-
 redis_sre_agent/core/schedules.py             |   23 +-
 redis_sre_agent/core/tasks.py                 |  106 +-
 redis_sre_agent/core/threads.py               |   30 +-
 redis_sre_agent/observability/llm_metrics.py  |   50 +-
 .../tools/admin/redis_enterprise/provider.py  |   98 +-
 .../tools/cloud/redis_cloud/__init__.py       |    9 +-
 .../tools/cloud/redis_cloud/provider.py       |  496 +-
 .../diagnostics/redis_command/provider.py     |   82 +-
 .../tools/host_telemetry/provider.py          |   66 +-
 .../tools/knowledge/knowledge_base.py         |   36 +-
 redis_sre_agent/tools/logs/loki/provider.py   |   40 +-
 redis_sre_agent/tools/manager.py              |  134 +-
 .../tools/metrics/prometheus/provider.py      |  169 +-
 redis_sre_agent/tools/models.py               |  124 +
 redis_sre_agent/tools/protocols.py            |  348 +-
 redis_sre_agent/tools/tool_definition.py      |   79 -
 redis_sre_agent/tools/utilities/provider.py   |   54 +-
 .../test_redis_cli_integration.py             |    6 +-
 .../test_redis_command_provider.py            |   43 +-
 .../prometheus/test_prometheus_provider.py    |   27 +-
 .../agent/test_langgraph_agent_compose.py     |    3 +
 tests/unit/api/test_threads_api.py            |    3 +
 .../test_redis_enterprise_admin_provider.py   |   24 +-
 .../redis_cloud/test_redis_cloud_client.py    |    5 +-
 .../redis_cloud/test_redis_cloud_provider.py  |   27 +-
 .../tools/knowledge/test_knowledge_base.py    |   13 +-
 tests/unit/tools/test_manager.py              |   12 +-
 .../unit/tools/test_tool_manager_protocols.py |   45 +-
 uv.lock                                       | 4564 +++++++++--------
 49 files changed, 3781 insertions(+), 3460 deletions(-)
 create mode 100644 redis_sre_agent/tools/models.py
 delete mode 100644 redis_sre_agent/tools/tool_definition.py

diff --git a/docs/how-to/tool-providers.md b/docs/how-to/tool-providers.md
index 3a469896..3fc2f80d 100644
--- a/docs/how-to/tool-providers.md
+++ b/docs/how-to/tool-providers.md
@@ -14,8 +14,8 @@ This is an early release with an initial set of built-in providers. More provide
   - Config: `TOOLS_PROMETHEUS_URL`, `TOOLS_PROMETHEUS_DISABLE_SSL`
 - **Loki logs**: `redis_sre_agent.tools.logs.loki.provider.LokiToolProvider`
   - Config: `TOOLS_LOKI_URL`, `TOOLS_LOKI_TENANT_ID`, `TOOLS_LOKI_TIMEOUT`
-- **Redis CLI diagnostics**: `redis_sre_agent.tools.diagnostics.redis_cli.provider.RedisCliToolProvider`
-  - Runs Redis CLI commands against target instances
+- **Redis command diagnostics**: `redis_sre_agent.tools.diagnostics.redis_command.provider.RedisCommandToolProvider`
+  - Runs Redis commands against target instances
 - **Host telemetry**: `redis_sre_agent.tools.host_telemetry.provider.HostTelemetryToolProvider`
   - System-level metrics and diagnostics
 
@@ -41,18 +41,22 @@ Implement a ToolProvider subclass that defines tool schemas and resolves calls.
 ### Minimal skeleton
 
 ```python
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List
 from redis_sre_agent.tools.protocols import ToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
+from redis_sre_agent.tools.models import ToolDefinition, ToolCapability
+
 
 class MyMetricsProvider(ToolProvider):
-    provider_name = "my_metrics"
+    @property
+    def provider_name(self) -> str:
+        return "my_metrics"
 
     def create_tool_schemas(self) -> List[ToolDefinition]:
         return [
             ToolDefinition(
                 name=self._make_tool_name("query"),
                 description="Query my metrics backend using a query string.",
+                capability=ToolCapability.METRICS,
                 parameters={
                     "type": "object",
                     "properties": {"query": {"type": "string"}},
@@ -61,17 +65,13 @@ class MyMetricsProvider(ToolProvider):
             )
         ]
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]):
-        op = self.resolve_operation(tool_name)
-        if op == "query":
-            return await self.query(**args)
-        raise ValueError(f"Unknown operation: {op}")
-
     async def query(self, query: str) -> Dict[str, Any]:
         # Implement your backend call
         return {"status": "success", "query": query, "data": []}
 ```
 
+The base class `tools()` method automatically wires tool names to provider methods. When an LLM invokes `my_metrics_{hash}_query`, the framework calls `self.query(**args)` directly. No manual `resolve_tool_call()` implementation is required.
+
 ### Register your provider
 
 - Install your package into the same environment as the agent (e.g., `pip install -e /path/to/pkg`)
diff --git a/pyproject.toml b/pyproject.toml
index 6c94de9e..9bb954d4 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -59,6 +59,26 @@ dependencies = [
     "opentelemetry-instrumentation-openai>=0.47.5",
 ]
 
+[dependency-groups]
+dev = [
+    "pytest>=7.0.0",
+    "pytest-asyncio>=0.21.0",
+    "pytest-cov>=4.1.0",
+    "ruff>=0.3.0",
+    "black>=23.0.0",
+    "mypy>=1.8.0",
+    "testcontainers>=3.7.0",
+    "pre-commit>=3.6.0",
+    "safety>=3.0.0",
+    "bandit>=1.7.0",
+    # OpenAPI client generator
+    "openapi-python-client>=0.21.0",
+    "mkdocs>=1.6.1",
+    "mkdocs-material>=9.6.22",
+    "mfcqi>=0.0.4",
+]
+
+
 [project.scripts]
 redis-sre-agent = "redis_sre_agent.cli:main"
 
@@ -77,22 +97,6 @@ include = [
 
 [tool.uv]
 default-groups = []
-dev-dependencies = [
-    "pytest>=7.0.0",
-    "pytest-asyncio>=0.21.0",
-    "pytest-cov>=4.1.0",
-    "ruff>=0.3.0",
-    "black>=23.0.0",
-    "mypy>=1.8.0",
-    "testcontainers>=3.7.0",
-    "pre-commit>=3.6.0",
-    "safety>=3.0.0",
-    "bandit>=1.7.0",
-    # OpenAPI client generator
-    "openapi-python-client>=0.21.0",
-    "mkdocs>=1.6.1",
-    "mkdocs-material>=9.6.22",
-]
 
 [tool.pytest.ini_options]
 testpaths = ["tests"]
diff --git a/redis_sre_agent/agent/helpers.py b/redis_sre_agent/agent/helpers.py
index 6927e712..13749782 100644
--- a/redis_sre_agent/agent/helpers.py
+++ b/redis_sre_agent/agent/helpers.py
@@ -85,7 +85,7 @@ def sanitize_messages_for_llm(msgs: List[Any]) -> List[Any]:
     for m in msgs:
         if isinstance(m, _AI):
             try:
-                for tc in getattr(m, "tool_calls", []) or []:
+                for tc in m.tool_calls or []:
                     if isinstance(tc, dict):
                         tid = tc.get("id") or tc.get("tool_call_id")
                         if tid:
@@ -93,15 +93,15 @@ def sanitize_messages_for_llm(msgs: List[Any]) -> List[Any]:
             except Exception:
                 pass
             clean.append(m)
-        elif isinstance(m, _TM) or getattr(m, "type", "") == "tool":
-            tid = getattr(m, "tool_call_id", None)
+        elif isinstance(m, _TM) or m.type == "tool":
+            tid = m.tool_call_id
             if tid and tid in seen_tool_ids:
                 clean.append(m)
             else:
                 continue
         else:
             clean.append(m)
-    while clean and (isinstance(clean[0], _TM) or getattr(clean[0], "type", "") == "tool"):
+    while clean and (isinstance(clean[0], _TM) or clean[0].type == "tool"):
         clean = clean[1:]
     return clean
 
@@ -122,26 +122,26 @@ def _compact_messages_tail(msgs: List[Any], limit: int = 6) -> List[Dict[str, An
     tail = msgs[-limit:] if msgs else []
     compact: List[Dict[str, Any]] = []
     for m in tail:
-        role = getattr(m, "type", m.__class__.__name__.lower())
+        role = m.type if m.type else m.__class__.__name__.lower()
         row: Dict[str, Any] = {"role": role}
         try:
-            is_ai = (_AI is not None and isinstance(m, _AI)) or getattr(m, "type", "") in (
+            is_ai = (_AI is not None and isinstance(m, _AI)) or m.type in (
                 "ai",
                 "assistant",
             )
             if is_ai:
                 ids: List[str] = []
-                for tc in getattr(m, "tool_calls", []) or []:
+                for tc in m.tool_calls or []:
                     if isinstance(tc, dict):
                         tid = tc.get("id") or tc.get("tool_call_id")
                         if tid:
                             ids.append(tid)
                 if ids:
                     row["tool_calls"] = ids
-            is_tool = (_TM is not None and isinstance(m, _TM)) or getattr(m, "type", "") == "tool"
+            is_tool = (_TM is not None and isinstance(m, _TM)) or m.type == "tool"
             if is_tool:
-                row["tool_call_id"] = getattr(m, "tool_call_id", None)
-                name = getattr(m, "name", None)
+                row["tool_call_id"] = m.tool_call_id
+                name = m.name
                 if name:
                     row["name"] = name
         except Exception:
@@ -193,7 +193,7 @@ def build_result_envelope(
 
     from .models import ResultEnvelope
 
-    content = getattr(tool_message, "content", None)
+    content = tool_message.content
     data_obj = None
     if isinstance(content, str) and content:
         try:
@@ -210,9 +210,8 @@ def _extract_operation_from_tool_name(full: str) -> str:
         parts = full.split(".")
         return parts[-1] if parts else full
 
-    description = (
-        getattr(tooldefs_by_name.get(tool_name), "description", None) if tool_name else None
-    )
+    tdef = tooldefs_by_name.get(tool_name) if tool_name else None
+    description = tdef.description if tdef else None
     env = ResultEnvelope(
         tool_key=tool_name or "tool",
         name=_extract_operation_from_tool_name(tool_name or "tool"),
@@ -224,13 +223,15 @@ def _extract_operation_from_tool_name(full: str) -> str:
     return env.model_dump()
 
 
-async def build_adapters_for_tooldefs(
-    tool_manager: Any, tooldefs: List[Any]
-) -> tuple[list[dict], list[Any]]:
-    """Create OpenAI tool schemas and LangChain StructuredTool adapters for ToolDefinitions.
+async def build_adapters_for_tooldefs(tool_manager: Any, tooldefs: List[Any]) -> list[Any]:
+    """Create LangChain StructuredTool adapters for ToolDefinitions.
 
-    Returns (tool_schemas, adapters)
+    Each adapter wraps :meth:`ToolManager.resolve_tool_call` so that tools can
+    be executed either via LangGraph's :class:`ToolNode` or directly via the
+    manager. The same adapters can also be passed to ``ChatOpenAI.bind_tools``
+    so we do not need to maintain separate OpenAI-specific tool schemas.
     """
+
     try:
         from typing import Any as _Any
 
@@ -241,7 +242,7 @@ async def build_adapters_for_tooldefs(
         from pydantic import create_model as _create_model
     except Exception:
         # Best-effort fallback (should not happen in runtime)
-        return [], []
+        return []
 
     def _args_model_from_parameters(tool_name: str, params: dict) -> type[_BaseModel]:
         props = (params or {}).get("properties", {}) or {}
@@ -261,20 +262,19 @@ def _args_model_from_parameters(tool_name: str, params: dict) -> type[_BaseModel
             pass
         return args_model
 
-    tool_schemas: list[dict] = [t.to_openai_schema() for t in (tooldefs or [])]
     adapters: list[_StructuredTool] = []
     for tdef in tooldefs or []:
 
         async def _exec_fn(_name=tdef.name, **kwargs):
             return await tool_manager.resolve_tool_call(_name, kwargs or {})
 
-        ArgsModel = _args_model_from_parameters(tdef.name, getattr(tdef, "parameters", {}) or {})  # noqa: N806
+        args_model = _args_model_from_parameters(tdef.name, tdef.parameters or {})
         adapters.append(
             _StructuredTool.from_function(
                 coroutine=_exec_fn,
                 name=tdef.name,
-                description=getattr(tdef, "description", "") or "",
-                args_schema=ArgsModel,
+                description=tdef.description or "",
+                args_schema=args_model,
             )
         )
-    return tool_schemas, adapters
+    return adapters
diff --git a/redis_sre_agent/agent/knowledge_agent.py b/redis_sre_agent/agent/knowledge_agent.py
index 955e37ff..3a2c4676 100644
--- a/redis_sre_agent/agent/knowledge_agent.py
+++ b/redis_sre_agent/agent/knowledge_agent.py
@@ -97,18 +97,13 @@ def __init__(self, progress_callback: Optional[Callable[[str, str], Awaitable[No
 
         logger.info("Knowledge-only agent initialized (tools loaded per-query)")
 
-    def _build_workflow(self, tool_mgr: ToolManager) -> StateGraph:
+    def _build_workflow(self, tool_mgr: ToolManager, llm_with_tools: ChatOpenAI) -> StateGraph:
         """Build the LangGraph workflow for knowledge-only queries.
 
         Args:
             tool_mgr: ToolManager instance with knowledge tools loaded
         """
 
-        # Bind tools to LLM for this workflow
-        tools = tool_mgr.get_tools()
-        tool_schemas = [tool.to_openai_schema() for tool in tools]
-        llm_with_tools = self.llm.bind_tools(tool_schemas)
-
         async def agent_node(state: KnowledgeAgentState) -> KnowledgeAgentState:
             """Main agent node for knowledge queries."""
             messages = state["messages"]
@@ -131,7 +126,7 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
                 for m in msgs:
                     if isinstance(m, AIMessage):
                         try:
-                            for tc in getattr(m, "tool_calls", []) or []:
+                            for tc in m.tool_calls or []:
                                 if isinstance(tc, dict):
                                     tid = tc.get("id") or tc.get("tool_call_id")
                                     if tid:
@@ -139,17 +134,15 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
                         except Exception:
                             pass
                         clean.append(m)
-                    elif isinstance(m, _TM) or getattr(m, "type", "") == "tool":
-                        tid = getattr(m, "tool_call_id", None)
+                    elif isinstance(m, _TM) or m.type == "tool":
+                        tid = m.tool_call_id
                         if tid and tid in seen_tool_ids:
                             clean.append(m)
                         else:
                             continue
                     else:
                         clean.append(m)
-                while clean and (
-                    isinstance(clean[0], _TM) or getattr(clean[0], "type", "") == "tool"
-                ):
+                while clean and (isinstance(clean[0], _TM) or clean[0].type == "tool"):
                     clean = clean[1:]
                 return clean
 
@@ -192,8 +185,8 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
                 )
                 # Coerce non-Message responses (e.g., simple mocks) into AIMessage
                 if not isinstance(response, BaseMessage):
-                    content = getattr(response, "content", None)
-                    tool_calls = getattr(response, "tool_calls", None)
+                    content = response.content
+                    tool_calls = response.tool_calls
                     response = AIMessage(
                         content=str(content) if content is not None else "", tool_calls=tool_calls
                     )
@@ -205,7 +198,7 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
                 state["messages"] = messages + [response]
 
                 # Store tool calls for potential execution
-                if hasattr(response, "tool_calls") and response.tool_calls:
+                if response.tool_calls:
                     state["current_tool_calls"] = [
                         {
                             "id": tc.get("id", ""),
@@ -235,14 +228,14 @@ async def safe_tool_node(state: KnowledgeAgentState) -> KnowledgeAgentState:
             last_message = messages[-1] if messages else None
 
             # Verify we have tool calls to execute
-            if not (hasattr(last_message, "tool_calls") and last_message.tool_calls):
+            if not (last_message and last_message.tool_calls):
                 logger.warning("safe_tool_node called without tool_calls in last message")
                 return state
 
             try:
                 # Emit provider-supplied status updates before executing tools
                 try:
-                    pending = getattr(last_message, "tool_calls", []) or []
+                    pending = last_message.tool_calls or []
                     if self.progress_callback:
                         for tc in pending:
                             tool_name = tc.get("name")
@@ -255,9 +248,7 @@ async def safe_tool_node(state: KnowledgeAgentState) -> KnowledgeAgentState:
                     pass
 
                 # Execute tools using ToolManager (wrapped in OTel span)
-                _tool_names = [
-                    tc.get("name", "") for tc in (getattr(last_message, "tool_calls", []) or [])
-                ]
+                _tool_names = [tc.get("name", "") for tc in (last_message.tool_calls or [])]
                 with tracer.start_as_current_span(
                     "knowledge.tools.execute",
                     attributes={
@@ -347,7 +338,7 @@ def should_continue(state: KnowledgeAgentState) -> str:
             try:
                 from redis_sre_agent.core.config import settings as _settings
 
-                _budget = int(getattr(_settings, "max_tool_calls_per_stage", 3))
+                _budget = int(_settings.max_tool_calls_per_stage)
             except Exception:
                 _budget = 3
             prev_exec = int(state.get("tool_calls_executed", 0) or 0)
@@ -359,11 +350,7 @@ def should_continue(state: KnowledgeAgentState) -> str:
                 return END
 
             # If the last message has tool calls, execute them
-            if (
-                hasattr(last_message, "tool_calls")
-                and last_message.tool_calls
-                and len(last_message.tool_calls) > 0
-            ):
+            if last_message.tool_calls and len(last_message.tool_calls) > 0:
                 return "tools"
 
             return END
@@ -434,10 +421,17 @@ async def process_query(
 
         # Create ToolManager with Redis instance-independent tools
         async with ToolManager(redis_instance=None) as tool_mgr:
-            logger.info(f"Loaded {len(tool_mgr.get_tools())} usable without Redis instance details")
+            tools = tool_mgr.get_tools()
+            logger.info(f"Loaded {len(tools)} tools usable without Redis instance details")
+
+            # Build StructuredTool adapters and bind them to the LLM
+            from .helpers import build_adapters_for_tooldefs as _build_adapters
+
+            adapters = await _build_adapters(tool_mgr, tools)
+            llm_with_tools = self.llm.bind_tools(adapters)
 
-            # Build workflow with tools
-            workflow = self._build_workflow(tool_mgr)
+            # Build workflow with tools and bound LLM
+            workflow = self._build_workflow(tool_mgr, llm_with_tools)
 
             # Create initial state with conversation history
             initial_messages = []
diff --git a/redis_sre_agent/agent/langgraph_agent.py b/redis_sre_agent/agent/langgraph_agent.py
index 0b3ef7be..5e6694db 100644
--- a/redis_sre_agent/agent/langgraph_agent.py
+++ b/redis_sre_agent/agent/langgraph_agent.py
@@ -76,7 +76,9 @@ def _get_secret_value(secret: Any) -> str:
 
     Handles both SecretStr (from Pydantic) and plain str (after decryption).
     """
-    if hasattr(secret, "get_secret_value"):
+    from pydantic import SecretStr
+
+    if isinstance(secret, SecretStr):
         return secret.get_secret_value()
     return str(secret)
 
@@ -349,7 +351,7 @@ def _messages_cache_key(self, messages: List[BaseMessage]) -> str:
             serial = []
             for m in messages or []:
                 role = m.__class__.__name__
-                content = getattr(m, "content", "")
+                content = m.content or ""
                 if isinstance(content, list):
                     try:
                         c = json.dumps(content, sort_keys=True, default=str)
@@ -365,10 +367,10 @@ def _messages_cache_key(self, messages: List[BaseMessage]) -> str:
             return str(id(messages))
 
     async def _ainvoke_memo(self, tag: str, llm: Any, messages: List[BaseMessage]):
-        if not getattr(self, "_run_cache_active", False):
+        if not self._run_cache_active:
             return await llm.ainvoke(messages)
-        model = getattr(llm, "model", None)
-        temperature = getattr(llm, "temperature", None)
+        model = llm.model
+        temperature = llm.temperature
         key = f"{tag}|{model}|{temperature}|{self._messages_cache_key(messages)}"
         if key in self._llm_cache:
             return self._llm_cache[key]
@@ -479,7 +481,7 @@ async def _compose_final_markdown(
             ),
         ]
         composed = await self._ainvoke_memo("composer", composer_llm, msgs)
-        content = getattr(composed, "content", "")
+        content = composed.content or ""
         # Normalize to string in case content is a list of parts
         if isinstance(content, list):
             try:
@@ -660,7 +662,7 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
                 for m in msgs:
                     if isinstance(m, AIMessage):
                         try:
-                            for tc in getattr(m, "tool_calls", []) or []:
+                            for tc in m.tool_calls or []:
                                 if isinstance(tc, dict):
                                     tid = tc.get("id") or tc.get("tool_call_id")
                                     if tid:
@@ -668,8 +670,8 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
                         except Exception:
                             pass
                         clean.append(m)
-                    elif isinstance(m, ToolMessage) or getattr(m, "type", "") == "tool":
-                        tid = getattr(m, "tool_call_id", None)
+                    elif isinstance(m, ToolMessage) or m.type == "tool":
+                        tid = m.tool_call_id
                         if tid and tid in seen_tool_ids:
                             clean.append(m)
                         else:
@@ -678,21 +680,15 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
                     else:
                         clean.append(m)
                 # Ensure the first message is not a tool message
-                while clean and (
-                    isinstance(clean[0], ToolMessage) or getattr(clean[0], "type", "") == "tool"
-                ):
+                while clean and (isinstance(clean[0], ToolMessage) or clean[0].type == "tool"):
                     clean = clean[1:]
                 # If the last message is an assistant with unfulfilled tool_calls, drop it to avoid API 400
-                if (
-                    clean
-                    and isinstance(clean[-1], AIMessage)
-                    and (getattr(clean[-1], "tool_calls", None) or [])
-                ):
+                if clean and isinstance(clean[-1], AIMessage) and (clean[-1].tool_calls or []):
                     clean = clean[:-1]
                 # Fallback guard: never return an empty list; keep first non-tool from original msgs
                 if not clean:
                     for m in msgs:
-                        if not (isinstance(m, ToolMessage) or getattr(m, "type", "") == "tool"):
+                        if not (isinstance(m, ToolMessage) or m.type == "tool"):
                             clean = [m]
                             break
                 return clean
@@ -721,8 +717,8 @@ async def _agent_llm_call():
 
             # Normalize response to a LangChain Message to ensure checkpoint serialization
             if not isinstance(response, BaseMessage):
-                content = getattr(response, "content", None)
-                tool_calls = getattr(response, "tool_calls", None)
+                content = response.content
+                tool_calls = response.tool_calls
                 response = AIMessage(
                     content=str(content) if content is not None else "", tool_calls=tool_calls
                 )
@@ -733,7 +729,7 @@ async def _agent_llm_call():
             state["iteration_count"] = iteration_count + 1
 
             # Track tool calls if any
-            if hasattr(response, "tool_calls") and response.tool_calls:
+            if response.tool_calls:
                 import json
 
                 norm_calls = []
@@ -800,10 +796,8 @@ async def tool_node(state: AgentState) -> AgentState:
 
                 from .helpers import build_adapters_for_tooldefs as _build_adapters
 
-                # Centralized adapter builder
-                _tool_schemas, adapters = await _build_adapters(
-                    tool_mgr, list(tooldefs_by_name.values())
-                )
+                # Centralized adapter builder (returns StructuredTool adapters)
+                adapters = await _build_adapters(tool_mgr, list(tooldefs_by_name.values()))
 
                 lg_tool_node = LGToolNode(adapters)
 
@@ -927,8 +921,8 @@ def _parse_tool_json_blocks(tool_msg_text: str) -> Optional[dict]:
 
                 extractor_llm = self.llm.with_structured_output(TopicsList)  # return TopicsList
                 instance_ctx = {
-                    "instance_type": getattr(target_instance, "instance_type", None),
-                    "name": getattr(target_instance, "name", None),
+                    "instance_type": target_instance.instance_type,
+                    "name": target_instance.name,
                 }
                 preface = (
                     "About this JSON: signals from upstream tool calls (each has a tool description, args, and raw JSON results).\n"
@@ -951,7 +945,7 @@ def _parse_tool_json_blocks(tool_msg_text: str) -> Optional[dict]:
                     "topics_extractor", extractor_llm, [human]
                 )  # TopicsList or similar
                 # Normalize to plain dicts list
-                items = getattr(resp, "items", resp)
+                items = resp.items if resp else resp
                 if isinstance(items, list):
                     topics = [t if isinstance(t, dict) else t.model_dump() for t in items]
                 else:
@@ -966,7 +960,7 @@ def _sev_score(t: dict) -> int:
                     return _sev_order.get(s, 1)
 
                 topics.sort(key=_sev_score, reverse=True)
-                max_topics = int(getattr(self.settings, "max_recommendation_topics", 3) or 3)
+                max_topics = int(self.settings.max_recommendation_topics or 3)
                 if len(topics) > max_topics:
                     topics = topics[:max_topics]
                 logger.info(
@@ -983,25 +977,24 @@ def _sev_score(t: dict) -> int:
 
                 rec_tasks = []
                 instance_ctx = {
-                    "instance_type": getattr(target_instance, "instance_type", None),
-                    "name": getattr(target_instance, "name", None),
+                    "instance_type": target_instance.instance_type,
+                    "name": target_instance.name,
                 }
                 # Build knowledge-only adapters locally (mini model)
-                from redis_sre_agent.tools.protocols import KnowledgeProviderProtocol as _KProto
+                from redis_sre_agent.tools.models import ToolCapability as _ToolCap
 
                 from .helpers import build_adapters_for_tooldefs as _build_adapters
 
-                knowledge_tools = tool_mgr.get_tools_for_protocol(_KProto, allowed_ops={"search"})
-                knowledge_tool_schemas, knowledge_adapters = await _build_adapters(
-                    tool_mgr, knowledge_tools
-                )
+                # Use all knowledge tools for the mini knowledge agent; no op-level filtering.
+                knowledge_tools = tool_mgr.get_tools_for_capability(_ToolCap.KNOWLEDGE)
+                knowledge_adapters = await _build_adapters(tool_mgr, knowledge_tools)
                 if knowledge_adapters:
                     knowledge_llm_base = ChatOpenAI(
                         model=self.settings.openai_model_mini,
                         openai_api_key=self.settings.openai_api_key,
                         timeout=self.settings.llm_timeout,
                     )
-                    knowledge_llm = knowledge_llm_base.bind_tools(knowledge_tool_schemas)
+                    knowledge_llm = knowledge_llm_base.bind_tools(knowledge_adapters)
 
                 if knowledge_adapters:
                     logger.info(
@@ -1057,8 +1050,8 @@ def _sev_score(t: dict) -> int:
 
                 try:
                     instance_ctx_local = {
-                        "instance_type": getattr(target_instance, "instance_type", None),
-                        "name": getattr(target_instance, "name", None),
+                        "instance_type": target_instance.instance_type,
+                        "name": target_instance.name,
                     }
                     composed_markdown = await self._compose_final_markdown(
                         initial_assessment_lines=[initial_writeup] if initial_writeup else [],
@@ -1109,9 +1102,8 @@ def should_continue(state: AgentState) -> str:
                 return "reasoning"  # Go to reasoning for final analysis
 
             # Check if the last message has tool calls
-            if messages and hasattr(messages[-1], "tool_calls"):
-                if messages[-1].tool_calls:
-                    return "tools"
+            if messages and isinstance(messages[-1], AIMessage) and messages[-1].tool_calls:
+                return "tools"
 
             # Check if we have pending tool calls in state
             if state.get("current_tool_calls"):
@@ -1556,16 +1548,19 @@ def get(self, key: str, default: Any = None):
 
         # Create ToolManager for this query with the target instance
         async with ToolManager(redis_instance=target_instance) as tool_mgr:
-            # Get tools and bind to LLM
+            # Get tools and bind to LLM via StructuredTool adapters
             tools = tool_mgr.get_tools()
-            tool_schemas = [tool.to_openai_schema() for tool in tools]
 
             logger.info(f"Loaded {len(tools)} tools for this query")
             for tool in tools:
                 logger.debug(f"  - {tool.name}")
 
+            from .helpers import build_adapters_for_tooldefs as _build_adapters
+
+            adapters = await _build_adapters(tool_mgr, tools)
+
             # Rebind LLM with tools for this query
-            self.llm_with_tools = self.llm.bind_tools(tool_schemas)
+            self.llm_with_tools = self.llm.bind_tools(adapters)
 
             # Rebuild workflow with the tool manager and target instance
             self.workflow = self._build_workflow(tool_mgr, target_instance)
@@ -1652,7 +1647,7 @@ async def get_thread_state(self, session_id: str) -> Dict[str, Any]:
         try:
             thread_config = {"configurable": {"thread_id": session_id}}
             current_state = await self.app.aget_state(config=thread_config)
-            if current_state and hasattr(current_state, "values"):
+            if current_state and current_state.values:
                 return {"messages": current_state.values.get("messages", [])}
         except Exception as e:
             logger.error(f"Error getting thread state: {e}")
@@ -1722,36 +1717,26 @@ async def process_query(
 
             # Use always-on providers (knowledge, utilities)
             async with ToolManager(redis_instance=None) as corrector_tool_manager:
-                # Select only knowledge.search and utilities calculator/date_math/timezone_converter/http_head via protocol selectors
-                from redis_sre_agent.tools.protocols import (
-                    KnowledgeProviderProtocol as _KProto,
-                )
-                from redis_sre_agent.tools.protocols import (
-                    UtilitiesProviderProtocol as _UProto,
-                )
+                # Select knowledge and utility tools via capabilities.
+                from redis_sre_agent.tools.models import ToolCapability as _ToolCap
 
-                knowledge_defs = corrector_tool_manager.get_tools_for_protocol(
-                    _KProto, allowed_ops={"search"}
-                )
-                utilities_defs = corrector_tool_manager.get_tools_for_protocol(
-                    _UProto,
-                    allowed_ops={"calculator", "date_math", "timezone_converter", "http_head"},
-                )
+                # Use all knowledge and utility tools for the corrector; no op-level filtering.
+                knowledge_defs = corrector_tool_manager.get_tools_for_capability(_ToolCap.KNOWLEDGE)
+                utilities_defs = corrector_tool_manager.get_tools_for_capability(_ToolCap.UTILITIES)
                 tooldefs = list(knowledge_defs) + list(utilities_defs)
-                tool_schemas = [t.to_openai_schema() for t in tooldefs]
 
                 # Build StructuredTool adapters centrally
                 from .helpers import build_adapters_for_tooldefs as _build_adapters
 
-                _tool_schemas2, adapters = await _build_adapters(corrector_tool_manager, tooldefs)
+                adapters = await _build_adapters(corrector_tool_manager, tooldefs)
 
-                # LLM with tools bound
+                # LLM with tools bound via adapters
                 corrector_llm_base = ChatOpenAI(
                     model=self.settings.openai_model_mini,
                     openai_api_key=self.settings.openai_api_key,
                     timeout=self.settings.llm_timeout,
                 )
-                corrector_llm = corrector_llm_base.bind_tools(tool_schemas)
+                corrector_llm = corrector_llm_base.bind_tools(adapters)
 
                 # Build the compiled subgraph
                 corrector = build_safety_fact_corrector(
@@ -1789,21 +1774,21 @@ async def process_query(
                             inst = await get_instance_by_id(inst_id)
                             if inst:
                                 # Normalize instance_type to a simple string value when possible
-                                _itype = getattr(inst, "instance_type", None)
+                                _itype = inst.instance_type
                                 try:
                                     _itype_val = _itype.value  # Enum-like
                                 except Exception:
                                     _itype_val = str(_itype) if _itype is not None else None
 
                                 instance_ctx = {
-                                    "id": getattr(inst, "id", None),
-                                    "name": getattr(inst, "name", None),
-                                    "environment": getattr(inst, "environment", None),
+                                    "id": inst.id,
+                                    "name": inst.name,
+                                    "environment": inst.environment,
                                     "instance_type": _itype_val,
-                                    "status": getattr(inst, "status", None),
-                                    "version": getattr(inst, "version", None),
-                                    "memory": getattr(inst, "memory", None),
-                                    "connections": getattr(inst, "connections", None),
+                                    "status": inst.status,
+                                    "version": inst.version,
+                                    "memory": inst.memory,
+                                    "connections": inst.connections,
                                 }
                 except Exception:
                     instance_ctx = {}
@@ -1872,21 +1857,40 @@ async def _retry_with_backoff(
             except Exception as e:
                 # Enrich logging with OpenAI/HTTP error details when available
                 try:
-                    status = getattr(e, "status_code", None) or getattr(
-                        getattr(e, "response", None), "status_code", None
-                    )
+                    status = None
                     body = None
-                    if hasattr(e, "body") and isinstance(getattr(e, "body"), (str, bytes)):
-                        body = (
-                            e.body.decode("utf-8", errors="ignore")
-                            if isinstance(e.body, (bytes, bytearray))
-                            else e.body
-                        )
-                    elif hasattr(e, "response") and getattr(e, "response") is not None:
-                        resp = getattr(e, "response")
-                        body = getattr(resp, "text", None) or getattr(resp, "content", None)
-                        if isinstance(body, (bytes, bytearray)):
-                            body = body.decode("utf-8", errors="ignore")
+                    try:
+                        status = e.status_code  # type: ignore[attr-defined]
+                    except AttributeError:
+                        try:
+                            resp = e.response  # type: ignore[attr-defined]
+                            if resp:
+                                status = resp.status_code
+                        except AttributeError:
+                            pass
+                    try:
+                        raw_body = e.body  # type: ignore[attr-defined]
+                        if isinstance(raw_body, (str, bytes)):
+                            body = (
+                                raw_body.decode("utf-8", errors="ignore")
+                                if isinstance(raw_body, (bytes, bytearray))
+                                else raw_body
+                            )
+                    except AttributeError:
+                        try:
+                            resp = e.response  # type: ignore[attr-defined]
+                            if resp is not None:
+                                try:
+                                    body = resp.text
+                                except AttributeError:
+                                    try:
+                                        body = resp.content
+                                    except AttributeError:
+                                        pass
+                                if isinstance(body, (bytes, bytearray)):
+                                    body = body.decode("utf-8", errors="ignore")
+                        except AttributeError:
+                            pass
                     if status or body:
                         snippet = (body or "")[:2000]
                         logger.error(
diff --git a/redis_sre_agent/agent/subgraphs/recommendation_worker.py b/redis_sre_agent/agent/subgraphs/recommendation_worker.py
index 19b71e7c..c88e50bc 100644
--- a/redis_sre_agent/agent/subgraphs/recommendation_worker.py
+++ b/redis_sre_agent/agent/subgraphs/recommendation_worker.py
@@ -102,7 +102,7 @@ def should_continue(state: RecState) -> str:
             if isinstance(m, AIMessage):
                 last_ai = m
                 break
-        has_calls = bool(getattr(last_ai, "tool_calls", None))
+        has_calls = bool(last_ai.tool_calls) if last_ai else False
         budget_left = int(state.get("budget", max_tool_steps)) > 0
         return "tools" if (has_calls and budget_left) else "synth"
 
diff --git a/redis_sre_agent/agent/subgraphs/safety_fact_corrector.py b/redis_sre_agent/agent/subgraphs/safety_fact_corrector.py
index a3453743..605e8ceb 100644
--- a/redis_sre_agent/agent/subgraphs/safety_fact_corrector.py
+++ b/redis_sre_agent/agent/subgraphs/safety_fact_corrector.py
@@ -86,7 +86,7 @@ def should_continue(state: CorrectorState) -> str:
             if isinstance(m, AIMessage):
                 last_ai = m
                 break
-        has_calls = bool(getattr(last_ai, "tool_calls", None))
+        has_calls = bool(last_ai.tool_calls) if last_ai else False
         budget_left = int(state.get("budget", max_tool_steps)) > 0
         return "tools" if (has_calls and budget_left) else "synth"
 
diff --git a/redis_sre_agent/api/app.py b/redis_sre_agent/api/app.py
index 2c2c6c4a..91e90933 100644
--- a/redis_sre_agent/api/app.py
+++ b/redis_sre_agent/api/app.py
@@ -36,7 +36,7 @@
 LOG_DATE_FORMAT = "%H:%M:%S"
 
 logging.basicConfig(
-    level=getattr(logging, settings.log_level.upper()),
+    level=logging.__dict__[settings.log_level.upper()],
     format=LOG_FORMAT,
     datefmt=LOG_DATE_FORMAT,
 )
diff --git a/redis_sre_agent/api/health.py b/redis_sre_agent/api/health.py
index c9b60c42..512e0422 100644
--- a/redis_sre_agent/api/health.py
+++ b/redis_sre_agent/api/health.py
@@ -68,7 +68,7 @@ async def detailed_health_check():
 
     # System is degraded if workers are missing but core components work
     # Treat vectorizer as optional when no OpenAI key is configured
-    requires_vectorizer = bool(getattr(settings, "openai_api_key", None))
+    requires_vectorizer = bool(settings.openai_api_key)
     core_components = {
         k: v
         for k, v in components.items()
diff --git a/redis_sre_agent/api/instances.py b/redis_sre_agent/api/instances.py
index 27d53a6a..6c125af4 100644
--- a/redis_sre_agent/api/instances.py
+++ b/redis_sre_agent/api/instances.py
@@ -20,14 +20,13 @@ def to_response(instance: "core_instances.RedisInstance") -> "RedisInstanceRespo
     """Convert a domain RedisInstance to an API-safe response with masked credentials."""
     conn_url = (
         instance.connection_url.get_secret_value()
-        if hasattr(instance.connection_url, "get_secret_value")
+        if isinstance(instance.connection_url, SecretStr)
         else instance.connection_url
     )
     admin_pwd = (
         instance.admin_password.get_secret_value()
-        if getattr(instance, "admin_password", None)
-        and hasattr(instance.admin_password, "get_secret_value")
-        else getattr(instance, "admin_password", None)
+        if instance.admin_password and isinstance(instance.admin_password, SecretStr)
+        else instance.admin_password
     )
     return RedisInstanceResponse(
         id=instance.id,
@@ -53,10 +52,10 @@ def to_response(instance: "core_instances.RedisInstance") -> "RedisInstanceRespo
         updated_at=instance.updated_at,
         created_by=instance.created_by,
         user_id=instance.user_id,
-        redis_cloud_subscription_id=getattr(instance, "redis_cloud_subscription_id", None),
-        redis_cloud_database_id=getattr(instance, "redis_cloud_database_id", None),
-        redis_cloud_subscription_type=getattr(instance, "redis_cloud_subscription_type", None),
-        redis_cloud_database_name=getattr(instance, "redis_cloud_database_name", None),
+        redis_cloud_subscription_id=instance.redis_cloud_subscription_id,
+        redis_cloud_database_id=instance.redis_cloud_database_id,
+        redis_cloud_subscription_type=instance.redis_cloud_subscription_type,
+        redis_cloud_database_name=instance.redis_cloud_database_name,
     )
 
 
diff --git a/redis_sre_agent/api/threads.py b/redis_sre_agent/api/threads.py
index 9ee310f0..6cbc4b22 100644
--- a/redis_sre_agent/api/threads.py
+++ b/redis_sre_agent/api/threads.py
@@ -49,7 +49,7 @@ async def list_threads(
                     state = await tm.get_thread(s_out.get("thread_id"))
                     msgs = []
                     if state is not None:
-                        ctx = getattr(state, "context", {}) or {}
+                        ctx = state.context or {}
                         msgs = ctx.get("messages", []) or []
                     # Only count user/assistant messages (exclude tools/system)
                     s_out["message_count"] = sum(
@@ -114,15 +114,10 @@ async def get_thread(thread_id: str) -> ThreadResponse:
     # Extract messages from context if present
     messages = state.context.get("messages", [])
 
-    # Build metadata dict compatible with UI expectations, robust to mocks
-    metadata: Optional[Dict[str, Any]] = None
-    md_dump = getattr(state.metadata, "model_dump", None)
-    if callable(md_dump):
-        try:
-            metadata = md_dump()
-        except Exception:
-            metadata = None
-    if metadata is None:
+    # Build metadata dict compatible with UI expectations
+    try:
+        metadata = state.metadata.model_dump()
+    except Exception:
         try:
             metadata = dict(state.metadata)  # type: ignore[arg-type]
         except Exception:
@@ -135,12 +130,10 @@ async def get_thread(thread_id: str) -> ThreadResponse:
         tags=(metadata.get("tags", []) if metadata else []),
         subject=(metadata.get("subject") if metadata else None),
         messages=[Message(**m) for m in messages] if messages else [],
-        context=getattr(state, "context", {}),
-        updates=[u.model_dump() for u in getattr(state, "updates", [])]
-        if getattr(state, "updates", None)
-        else [],
-        result=getattr(state, "result", None),
-        error_message=getattr(state, "error_message", None),
+        context=state.context,
+        updates=[u.model_dump() for u in state.updates] if state.updates else [],
+        result=state.result,
+        error_message=state.error_message,
         metadata=metadata,
     )
 
diff --git a/redis_sre_agent/cli/instance.py b/redis_sre_agent/cli/instance.py
index 6ef7f17e..a4ea85ad 100644
--- a/redis_sre_agent/cli/instance.py
+++ b/redis_sre_agent/cli/instance.py
@@ -8,6 +8,7 @@
 from typing import Any, Dict, List, Optional
 
 import click
+from pydantic import SecretStr
 from rich.console import Console
 from rich.table import Table
 
@@ -27,7 +28,7 @@ def _mask_response(inst: core_instances.RedisInstance) -> Dict[str, Any]:
     d = inst.model_dump(mode="json", exclude={"connection_url", "admin_password"})
     d["connection_url"] = core_instances.mask_redis_url(inst.connection_url)
     # Always mask admin_password if present
-    if getattr(inst, "admin_password", None):
+    if inst.admin_password:
         d["admin_password"] = "***"
     return d
 
@@ -47,7 +48,7 @@ def _print_instances_table(items: List[core_instances.RedisInstance], limit: int
 
     for inst in items[:limit]:
         masked_url = core_instances.mask_redis_url(inst.connection_url)
-        itype = getattr(inst.instance_type, "value", inst.instance_type) or "-"
+        itype = inst.instance_type.value if inst.instance_type else "-"
         table.add_row(inst.id, inst.name, inst.environment, itype, masked_url)
 
     console.print(table)
@@ -474,7 +475,7 @@ async def _test():
                 raise RuntimeError("Instance not found")
             url = (
                 inst.connection_url.get_secret_value()
-                if hasattr(inst.connection_url, "get_secret_value")
+                if isinstance(inst.connection_url, SecretStr)
                 else str(inst.connection_url)
             )
             ok = await test_redis_connection(url=url)
diff --git a/redis_sre_agent/cli/main.py b/redis_sre_agent/cli/main.py
index 303da357..28df3ffc 100644
--- a/redis_sre_agent/cli/main.py
+++ b/redis_sre_agent/cli/main.py
@@ -36,7 +36,7 @@ def get_command(self, ctx, name):
             return None
         module_path, attr = target.split(":", 1)
         mod = importlib.import_module(module_path)
-        return getattr(mod, attr)
+        return mod.__dict__[attr]
 
 
 @click.command(cls=LazyGroup)
diff --git a/redis_sre_agent/cli/schedules.py b/redis_sre_agent/cli/schedules.py
index e7e62ff5..87e73fc6 100644
--- a/redis_sre_agent/cli/schedules.py
+++ b/redis_sre_agent/cli/schedules.py
@@ -15,7 +15,7 @@
 from redis_sre_agent.core.keys import RedisKeys
 from redis_sre_agent.core.redis import get_redis_client
 from redis_sre_agent.core.schedules import get_schedule
-from redis_sre_agent.core.tasks import TaskManager
+from redis_sre_agent.core.tasks import TaskManager, TaskStatus
 from redis_sre_agent.core.threads import ThreadManager
 
 
@@ -628,7 +628,11 @@ async def _runs():
                         task = None
                     if task:
                         # Normalize enum or str to a string status value
-                        task_status = getattr(task.status, "value", str(task.status))
+                        task_status = (
+                            task.status.value
+                            if isinstance(task.status, TaskStatus)
+                            else str(task.status)
+                        )
                         started_at = task.metadata.created_at or started_at
                         if task_status == "done":
                             completed_at = task.metadata.updated_at
diff --git a/redis_sre_agent/cli/tasks.py b/redis_sre_agent/cli/tasks.py
index 47ec4877..448210ea 100644
--- a/redis_sre_agent/cli/tasks.py
+++ b/redis_sre_agent/cli/tasks.py
@@ -121,7 +121,7 @@ def _fmt(ts: str | None) -> str:
             updated = meta.get("updated_at") or meta.get("created_at") or "-"
             updated_disp = _fmt(updated)
             status_obj = t.get("status")
-            status_str = getattr(status_obj, "value", str(status_obj))
+            status_str = status_obj.value if isinstance(status_obj, TaskStatus) else str(status_obj)
             thread_id = t.get("thread_id") or "-"
             task_id_val = t.get("task_id") or "-"
 
@@ -159,7 +159,7 @@ async def _get():
         from rich.console import Console
         from rich.table import Table
 
-        from redis_sre_agent.core.tasks import get_task_by_id
+        from redis_sre_agent.core.tasks import TaskStatus, get_task_by_id
 
         console = Console()
         try:
@@ -174,17 +174,19 @@ async def _get():
         if as_json:
             out = dict(t)
             st = out.get("status")
-            if hasattr(st, "value"):
+            if isinstance(st, TaskStatus):
                 out["status"] = st.value
             print(_json.dumps(out, indent=2))
             return
 
         meta = t.get("metadata", {}) or {}
+        status_obj = t.get("status")
+        status_str = status_obj.value if isinstance(status_obj, TaskStatus) else str(status_obj)
 
         table = Table(title=f"Task {task_id}")
         table.add_column("Field", no_wrap=True)
         table.add_column("Value")
-        table.add_row("Status", getattr(t.get("status"), "value", str(t.get("status"))))
+        table.add_row("Status", status_str)
         table.add_row("Thread ID", t.get("thread_id") or "-")
         table.add_row("Created", meta.get("created_at") or "-")
         table.add_row("Updated", meta.get("updated_at") or "-")
diff --git a/redis_sre_agent/cli/threads.py b/redis_sre_agent/cli/threads.py
index 69161ed6..d61759c7 100644
--- a/redis_sre_agent/cli/threads.py
+++ b/redis_sre_agent/cli/threads.py
@@ -3,8 +3,20 @@
 from __future__ import annotations
 
 import asyncio
+import json
+from zoneinfo import ZoneInfo
 
 import click
+from rich.console import Console
+from rich.table import Table
+
+from redis_sre_agent.core.keys import RedisKeys
+from redis_sre_agent.core.redis import (
+    SRE_THREADS_INDEX,
+    get_redis_client,
+    get_threads_index,
+)
+from redis_sre_agent.core.threads import ThreadManager
 
 
 @click.group()
@@ -31,14 +43,6 @@ def thread_list(
     """List threads (shows all threads by default, ordered by Redis index)."""
 
     async def _list():
-        import json as _json
-
-        from rich.console import Console
-        from rich.table import Table
-
-        from redis_sre_agent.core.redis import get_redis_client
-        from redis_sre_agent.core.threads import ThreadManager
-
         console = Console()
         tm = ThreadManager(redis_client=get_redis_client())
 
@@ -48,13 +52,6 @@ async def _list():
         # Helper to parse/sort and format timestamps
         from datetime import datetime
 
-        try:
-            from zoneinfo import ZoneInfo as _ZoneInfo  # Python 3.9+
-
-            zoneinfo_cls = _ZoneInfo
-        except Exception:
-            zoneinfo_cls = None  # type: ignore
-
         def _to_ts(s: str | None) -> float:
             if not s or s == "-":
                 return 0.0
@@ -71,7 +68,7 @@ def _to_ts(s: str | None) -> float:
         )
 
         if as_json:
-            print(_json.dumps(threads, indent=2))
+            print(json.dumps(threads, indent=2))
             return
 
         def _fmt(ts: str | None) -> str:
@@ -80,9 +77,9 @@ def _fmt(ts: str | None) -> str:
             try:
                 # ThreadManager emits UTC ISO with offset (e.g., +00:00)
                 dt = datetime.fromisoformat(ts.replace("Z", "+00:00"))
-                if tz and zoneinfo_cls is not None:
+                if tz:
                     try:
-                        dt = dt.astimezone(zoneinfo_cls(tz))
+                        dt = dt.astimezone(ZoneInfo(tz))
                     except Exception:
                         dt = dt.astimezone()
                 else:
@@ -129,34 +126,18 @@ def thread_get(thread_id: str, as_json: bool):
     """Get full thread details by ID."""
 
     async def _get():
-        import json as _json
-
-        from rich.console import Console
-        from rich.table import Table
-
-        from redis_sre_agent.core.redis import get_redis_client
-        from redis_sre_agent.core.tasks import get_task_status as _get_task_status
-        from redis_sre_agent.core.threads import ThreadManager
-
         console = Console()
         tm = ThreadManager(redis_client=get_redis_client())
         state = await tm.get_thread(thread_id)
         if not state:
             if as_json:
-                print(_json.dumps({"error": "Thread not found", "thread_id": thread_id}))
+                print(json.dumps({"error": "Thread not found", "thread_id": thread_id}))
             else:
                 console.print(f"[red]Thread not found:[/red] {thread_id}")
             return
 
         if as_json:
-            try:
-                payload = await _get_task_status(thread_id=thread_id)
-                st = payload.get("status")
-                if hasattr(st, "value"):
-                    payload["status"] = st.value
-                print(_json.dumps(payload, indent=2))
-            except Exception as e:
-                print(_json.dumps({"error": str(e), "thread_id": thread_id}))
+            print(json.dumps(state.model_dump(), indent=2))
             return
 
         meta = state.metadata
@@ -204,20 +185,12 @@ def thread_sources(thread_id: str, task_id: str | None, as_json: bool):
     """List knowledge fragments retrieved for a thread (optionally a specific turn)."""
 
     async def _run():
-        import json as _json
-
-        from rich.console import Console
-        from rich.table import Table
-
-        from redis_sre_agent.core.redis import get_redis_client
-        from redis_sre_agent.core.threads import ThreadManager
-
         tm = ThreadManager(redis_client=get_redis_client())
         state = await tm.get_thread(thread_id)
         if not state:
             payload = {"error": "Thread not found", "thread_id": thread_id}
             if as_json:
-                print(_json.dumps(payload))
+                print(json.dumps(payload))
             else:
                 click.echo(f"❌ Thread not found: {thread_id}")
             return
@@ -248,7 +221,7 @@ async def _run():
 
         if as_json:
             print(
-                _json.dumps(
+                json.dumps(
                     {"thread_id": thread_id, "task_id": task_id, "fragments": items}, indent=2
                 )
             )
@@ -290,16 +263,6 @@ def thread_reindex(drop: bool, limit: int, start: int):
     """Recreate the threads FT.SEARCH index and backfill from existing thread data."""
 
     async def _reindex():
-        from rich.console import Console
-
-        from redis_sre_agent.core.keys import RedisKeys
-        from redis_sre_agent.core.redis import (
-            SRE_THREADS_INDEX,
-            get_redis_client,
-            get_threads_index,
-        )
-        from redis_sre_agent.core.threads import ThreadManager
-
         console = Console()
         tm = ThreadManager(redis_client=get_redis_client())
 
diff --git a/redis_sre_agent/cli/worker.py b/redis_sre_agent/cli/worker.py
index ae991d4e..1c6ac58b 100644
--- a/redis_sre_agent/cli/worker.py
+++ b/redis_sre_agent/cli/worker.py
@@ -42,10 +42,7 @@ async def _worker():
         logger = logging.getLogger(__name__)
 
         # Validate Redis URL
-        if (
-            not settings.redis_url
-            or not getattr(settings.redis_url, "get_secret_value", lambda: "")()
-        ):
+        if not settings.redis_url or not settings.redis_url.get_secret_value():
             click.echo("\u274c Redis URL not configured")
             sys.exit(1)
 
diff --git a/redis_sre_agent/core/docket_tasks.py b/redis_sre_agent/core/docket_tasks.py
index ac4b880c..f65098bf 100644
--- a/redis_sre_agent/core/docket_tasks.py
+++ b/redis_sre_agent/core/docket_tasks.py
@@ -549,9 +549,9 @@ async def progress_callback(
                     lc_history.append(AIMessage(content=msg["content"]))
 
             # Use a smaller iteration cap for the knowledge agent to avoid long loops
-            _k_max_iters = getattr(settings, "knowledge_max_iterations", None)
+            _k_max_iters = settings.knowledge_max_iterations
             if not isinstance(_k_max_iters, int) or _k_max_iters <= 0:
-                _k_max_iters = min(int(getattr(settings, "max_iterations", 10) or 10), 8)
+                _k_max_iters = min(int(settings.max_iterations or 10), 8)
 
             response_text = await agent.process_query(
                 query=message,
@@ -595,18 +595,18 @@ async def progress_callback(
         # Persist agent reflections/status updates for this turn as chat messages
         try:
             fresh_state = await thread_manager.get_thread(thread_id)
-            updates = list(getattr(fresh_state, "updates", []) or [])
+            updates = list(fresh_state.updates or [])
             # Keep only updates from this task/turn and relevant types
             relevant_types = {"agent_reflection", "agent_processing", "agent_start"}
             turn_updates = [
                 u
                 for u in updates
-                if (getattr(u, "metadata", None) or {}).get("task_id") == task_id
-                and getattr(u, "update_type", "") in relevant_types
-                and getattr(u, "message", None)
+                if (u.metadata or {}).get("task_id") == task_id
+                and u.update_type in relevant_types
+                and u.message
             ]
             # Order chronologically
-            turn_updates.sort(key=lambda u: getattr(u, "timestamp", ""))
+            turn_updates.sort(key=lambda u: u.timestamp)
             reflection_messages = [
                 {
                     "role": "assistant",
diff --git a/redis_sre_agent/core/instances.py b/redis_sre_agent/core/instances.py
index e6d79e80..baf2cada 100644
--- a/redis_sre_agent/core/instances.py
+++ b/redis_sre_agent/core/instances.py
@@ -41,7 +41,7 @@ def mask_redis_url(url: Any) -> str:
     """
     try:
         # Avoid exposing secrets to callers: unwrap here if needed
-        if hasattr(url, "get_secret_value"):
+        if isinstance(url, SecretStr):
             url = url.get_secret_value()
         elif not isinstance(url, str):
             url = str(url)
@@ -97,7 +97,7 @@ class RedisInstance(BaseModel):
     def dump_secret(self, v):
         if v is None:
             return None
-        return v.get_secret_value() if hasattr(v, "get_secret_value") else v
+        return v.get_secret_value() if isinstance(v, SecretStr) else v
 
     usage: str = Field(..., description="Usage type: cache, analytics, session, queue, or custom")
     description: str
@@ -169,10 +169,10 @@ def validate_not_app_redis(cls, v: SecretStr) -> SecretStr:
         try:
             from redis_sre_agent.core.config import settings
 
-            url_value = v.get_secret_value() if hasattr(v, "get_secret_value") else v
+            url_value = v.get_secret_value() if isinstance(v, SecretStr) else v
             settings_url = (
                 settings.redis_url.get_secret_value()
-                if hasattr(settings.redis_url, "get_secret_value")
+                if isinstance(settings.redis_url, SecretStr)
                 else settings.redis_url
             )
             if url_value == settings_url:
@@ -218,7 +218,7 @@ async def get_bdb_uid(
             admin_username = self.admin_username or ""
             admin_password = (
                 self.admin_password.get_secret_value()
-                if hasattr(self.admin_password, "get_secret_value")
+                if isinstance(self.admin_password, SecretStr)
                 else (self.admin_password or "")
             )
 
@@ -239,7 +239,7 @@ async def get_bdb_uid(
             try:
                 url_to_parse = redis_url or (
                     self.connection_url.get_secret_value()
-                    if hasattr(self.connection_url, "get_secret_value")
+                    if isinstance(self.connection_url, SecretStr)
                     else str(self.connection_url)
                 )
                 parsed = urlparse(url_to_parse) if url_to_parse else None
@@ -394,7 +394,7 @@ async def _upsert_instance_index_doc(instance: "RedisInstance") -> bool:
             updated_ts = datetime.now(timezone.utc).timestamp()
 
         # Normalize instance_type to value when Enum
-        itype = getattr(instance, "instance_type", "unknown")
+        itype = instance.instance_type
         try:
             itype_val = itype.value  # Enum
         except Exception:
@@ -407,8 +407,8 @@ async def _upsert_instance_index_doc(instance: "RedisInstance") -> bool:
                 "environment": (instance.environment or "").lower(),
                 "usage": (instance.usage or "").lower(),
                 "instance_type": itype_val,
-                "user_id": getattr(instance, "user_id", "") or "",
-                "status": (getattr(instance, "status", "unknown") or "unknown").lower(),
+                "user_id": instance.user_id or "",
+                "status": (instance.status or "unknown").lower(),
                 "created_at": created_ts,
                 "updated_at": updated_ts,
                 "data": json.dumps(inst_dict),
diff --git a/redis_sre_agent/core/redis.py b/redis_sre_agent/core/redis.py
index 54b2e615..eb6afa0f 100644
--- a/redis_sre_agent/core/redis.py
+++ b/redis_sre_agent/core/redis.py
@@ -417,7 +417,7 @@ async def initialize_redis() -> dict:
 
     # Test vectorizer (skip when no OpenAI key configured)
     try:
-        if not getattr(settings, "openai_api_key", None):
+        if not settings.openai_api_key:
             status["vectorizer"] = "skipped"
         else:
             vectorizer = get_vectorizer()
diff --git a/redis_sre_agent/core/schedules.py b/redis_sre_agent/core/schedules.py
index 80d081a3..2c21222d 100644
--- a/redis_sre_agent/core/schedules.py
+++ b/redis_sre_agent/core/schedules.py
@@ -89,29 +89,8 @@ async def _get_schedules(query: Optional[BaseQuery] = None) -> List[Dict]:
             # Convert result to dictionary format
             if isinstance(result, dict):
                 schedule_data = result.copy()
-            elif hasattr(result, "__dict__"):
-                schedule_data = result.__dict__.copy()
             else:
-                # Try to access as attributes
-                schedule_data = {}
-                for field in [
-                    "id",
-                    "name",
-                    "description",
-                    "interval_type",
-                    "interval_value",
-                    "redis_instance_id",
-                    "instructions",
-                    "enabled",
-                    "created_at",
-                    "updated_at",
-                    "last_run_at",
-                    "next_run_at",
-                ]:
-                    try:
-                        schedule_data[field] = getattr(result, field, None)
-                    except AttributeError:
-                        schedule_data[field] = None
+                schedule_data = result.__dict__.copy()
 
             # Extract actual schedule ID from Redis key (remove "sre_schedules:" prefix)
             redis_key = schedule_data.get("id", "")
diff --git a/redis_sre_agent/core/tasks.py b/redis_sre_agent/core/tasks.py
index 4806958b..45572f50 100644
--- a/redis_sre_agent/core/tasks.py
+++ b/redis_sre_agent/core/tasks.py
@@ -253,6 +253,7 @@ async def get_task_state(self, task_id: str) -> Optional[TaskState]:
         )
 
 
+# TODO: Why do we need create_task() here and also in TaskManager?
 async def create_task(
     *,
     message: str,
@@ -296,62 +297,15 @@ async def create_task(
     }
 
 
-async def get_task_status(*, thread_id: str, redis_client=None) -> Dict[str, Any]:
-    """Return a dict representing the task status (compatible with TaskStatusResponse)."""
-    if redis_client is None:
-        from redis_sre_agent.core.redis import get_redis_client as _get
-
-        redis_client = _get()
-
-    from redis_sre_agent.core.threads import ThreadManager
-
-    thread_manager = ThreadManager(redis_client=redis_client)
-
-    thread_state = await thread_manager.get_thread(thread_id)
-    if not thread_state:
-        raise ValueError(f"Thread {thread_id} not found")
-
-    updates = [
-        {
-            "timestamp": update.timestamp,
-            "message": update.message,
-            "type": update.update_type,
-            "metadata": update.metadata or {},
-        }
-        for update in thread_state.updates
-    ]
-
-    metadata = {
-        "created_at": thread_state.metadata.created_at,
-        "updated_at": thread_state.metadata.updated_at,
-        "user_id": thread_state.metadata.user_id,
-        "session_id": thread_state.metadata.session_id,
-        "priority": thread_state.metadata.priority,
-        "tags": thread_state.metadata.tags,
-        "subject": thread_state.metadata.subject,
-    }
-
-    return {
-        "thread_id": thread_id,
-        "status": thread_state.status,
-        "updates": updates,
-        "result": thread_state.result,
-        "error_message": thread_state.error_message,
-        "metadata": metadata,
-        "context": thread_state.context,
-    }
-
-
 async def get_task_by_id(*, task_id: str, redis_client=None) -> Dict[str, Any]:
     """Return a dict representing a single task by task_id."""
     if redis_client is None:
-        from redis_sre_agent.core.redis import get_redis_client as _get
-
-        redis_client = _get()
+        redis_client = get_redis_client()
 
     task_manager = TaskManager(redis_client=redis_client)
-    task_state = await task_manager.get_task_state(task_id)
-    if not task_state:
+    task = await task_manager.get_task_state(task_id)
+
+    if not task:
         raise ValueError(f"Task {task_id} not found")
 
     updates = [
@@ -361,23 +315,23 @@ async def get_task_by_id(*, task_id: str, redis_client=None) -> Dict[str, Any]:
             "type": u.update_type,
             "metadata": u.metadata or {},
         }
-        for u in (task_state.updates or [])
+        for u in (task.updates or [])
     ]
 
     metadata = {
-        "created_at": task_state.metadata.created_at,
-        "updated_at": task_state.metadata.updated_at,
-        "user_id": task_state.metadata.user_id,
-        "subject": task_state.metadata.subject,
+        "created_at": task.metadata.created_at,
+        "updated_at": task.metadata.updated_at,
+        "user_id": task.metadata.user_id,
+        "subject": task.metadata.subject,
     }
 
     return {
-        "task_id": task_state.task_id,
-        "thread_id": task_state.thread_id,
-        "status": task_state.status,
+        "task_id": task.task_id,
+        "thread_id": task.thread_id,
+        "status": task.status,
         "updates": updates,
-        "result": task_state.result,
-        "error_message": task_state.error_message,
+        "result": task.result,
+        "error_message": task.error_message,
         "metadata": metadata,
         "context": {},
     }
@@ -448,22 +402,20 @@ def _iso(ts) -> str | None:
 
         tasks: List[Dict[str, Any]] = []
         for res in results:
-            row = (
-                res
-                if isinstance(res, dict)
-                else {
-                    k: getattr(res, k, None)
-                    for k in [
-                        "id",
-                        "status",
-                        "subject",
-                        "user_id",
-                        "thread_id",
-                        "created_at",
-                        "updated_at",
-                    ]
-                }
-            )
+            if isinstance(res, dict):
+                row = res
+            else:
+                row = {}
+                for k in [
+                    "id",
+                    "status",
+                    "subject",
+                    "user_id",
+                    "thread_id",
+                    "created_at",
+                    "updated_at",
+                ]:
+                    row[k] = res.__dict__.get(k)
             redis_key = row.get("id", "")
             task_id = (
                 redis_key[len("sre_tasks:") :]
diff --git a/redis_sre_agent/core/threads.py b/redis_sre_agent/core/threads.py
index 97b96a80..ed0ab88e 100644
--- a/redis_sre_agent/core/threads.py
+++ b/redis_sre_agent/core/threads.py
@@ -332,22 +332,20 @@ def _iso(ts) -> str | None:
 
         threads: List[Dict[str, Any]] = []
         for res in results:
-            row = (
-                res
-                if isinstance(res, dict)
-                else {
-                    k: getattr(res, k, None)
-                    for k in [
-                        "id",
-                        "subject",
-                        "user_id",
-                        "instance_id",
-                        "priority",
-                        "created_at",
-                        "updated_at",
-                    ]
-                }
-            )
+            if isinstance(res, dict):
+                row = res
+            else:
+                row = {}
+                for k in [
+                    "id",
+                    "subject",
+                    "user_id",
+                    "instance_id",
+                    "priority",
+                    "created_at",
+                    "updated_at",
+                ]:
+                    row[k] = res.__dict__.get(k)
             redis_key = row.get("id", "")
             thread_id = (
                 redis_key[len("sre_threads:") :]
diff --git a/redis_sre_agent/observability/llm_metrics.py b/redis_sre_agent/observability/llm_metrics.py
index f33d4b4b..2166e27a 100644
--- a/redis_sre_agent/observability/llm_metrics.py
+++ b/redis_sre_agent/observability/llm_metrics.py
@@ -42,7 +42,19 @@
 
 
 def _get_model_name(llm: Any) -> str:
-    return getattr(llm, "model", None) or getattr(llm, "_model", None) or "unknown"
+    try:
+        model = llm.model  # type: ignore[attr-defined]
+        if model:
+            return model
+    except AttributeError:
+        pass
+    try:
+        model = llm._model  # type: ignore[attr-defined]
+        if model:
+            return model
+    except AttributeError:
+        pass
+    return "unknown"
 
 
 def _extract_usage_from_response(resp: Any) -> Dict[str, Optional[int]]:
@@ -53,24 +65,30 @@ def _extract_usage_from_response(resp: Any) -> Dict[str, Optional[int]]:
     prompt = completion = total = None
 
     # LangChain AIMessage often exposes usage via .usage_metadata
-    usage_md = getattr(resp, "usage_metadata", None)
-    if isinstance(usage_md, dict):
-        prompt = usage_md.get("input_tokens") or usage_md.get("prompt_tokens")
-        completion = usage_md.get("output_tokens") or usage_md.get("completion_tokens")
-        total = usage_md.get("total_tokens")
+    try:
+        usage_md = resp.usage_metadata  # type: ignore[attr-defined]
+        if isinstance(usage_md, dict):
+            prompt = usage_md.get("input_tokens") or usage_md.get("prompt_tokens")
+            completion = usage_md.get("output_tokens") or usage_md.get("completion_tokens")
+            total = usage_md.get("total_tokens")
+    except AttributeError:
+        pass
 
     # Some wrappers place the raw OpenAI usage in response_metadata
     if prompt is None or completion is None:
-        resp_md = getattr(resp, "response_metadata", None)
-        if isinstance(resp_md, dict):
-            # OpenAI python client
-            usage = resp_md.get("usage") or resp_md.get("token_usage")
-            if isinstance(usage, dict):
-                prompt = prompt or usage.get("prompt_tokens") or usage.get("input_tokens")
-                completion = (
-                    completion or usage.get("completion_tokens") or usage.get("output_tokens")
-                )
-                total = total or usage.get("total_tokens")
+        try:
+            resp_md = resp.response_metadata  # type: ignore[attr-defined]
+            if isinstance(resp_md, dict):
+                # OpenAI python client
+                usage = resp_md.get("usage") or resp_md.get("token_usage")
+                if isinstance(usage, dict):
+                    prompt = prompt or usage.get("prompt_tokens") or usage.get("input_tokens")
+                    completion = (
+                        completion or usage.get("completion_tokens") or usage.get("output_tokens")
+                    )
+                    total = total or usage.get("total_tokens")
+        except AttributeError:
+            pass
 
     # Many providers only give total
     if total is None and prompt is not None and completion is not None:
diff --git a/redis_sre_agent/tools/admin/redis_enterprise/provider.py b/redis_sre_agent/tools/admin/redis_enterprise/provider.py
index 21049e3c..786c4249 100644
--- a/redis_sre_agent/tools/admin/redis_enterprise/provider.py
+++ b/redis_sre_agent/tools/admin/redis_enterprise/provider.py
@@ -15,8 +15,8 @@
 
 from redis_sre_agent.core.instances import RedisInstance
 from redis_sre_agent.tools.decorators import status_update
+from redis_sre_agent.tools.models import ToolCapability, ToolDefinition
 from redis_sre_agent.tools.protocols import ToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
 
 logger = logging.getLogger(__name__)
 
@@ -65,11 +65,6 @@ class RedisEnterpriseAdminToolProvider(ToolProvider):
     The RedisInstance must have instance_type='redis_enterprise' and admin_url set.
     """
 
-    # Also provide DIAGNOSTICS capability so HostTelemetry can use system_hosts()
-    from redis_sre_agent.tools.protocols import ToolCapability
-
-    capabilities = {ToolCapability.DIAGNOSTICS}
-
     def __init__(
         self,
         redis_instance: RedisInstance,
@@ -105,6 +100,12 @@ def __init__(
     def provider_name(self) -> str:
         return "re_admin"  # Shortened to avoid OpenAI 64-char tool name limit
 
+    @property
+    def default_requires_instance(self) -> Optional[bool]:
+        """Admin tools always require a Redis Enterprise instance with admin access."""
+
+        return True
+
     def get_client(self) -> httpx.AsyncClient:
         """Get or create the HTTP client (lazy initialization).
 
@@ -151,8 +152,8 @@ def get_client(self) -> httpx.AsyncClient:
     def resolve_operation(self, tool_name: str, args: Dict[str, Any]) -> Optional[str]:
         """Parse operation name from full tool name for status updates.
 
-        Overrides the base implementation to handle operations with underscores,
-        matching the provider's tool name scheme: {provider}_{hash}_{operation}.
+        This override matches the provider's tool name scheme:
+        ``{provider}_{hash}_{operation}`` and returns ``operation``.
         """
         try:
             import re
@@ -182,6 +183,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "alert configuration, email settings, and rack awareness. "
                     "Use this to understand cluster-level configuration and status."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -195,6 +197,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns database UIDs, names, and optionally other fields. "
                     "Use this to discover what databases exist in the cluster."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -217,6 +220,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns configuration, status, memory usage, replication settings, "
                     "persistence configuration, and more. Use this to inspect a specific database."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -242,6 +246,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns node information including status, addresses, resources, "
                     "and shard placement. Use this to understand cluster topology."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -263,6 +268,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns node status, resources, addresses, shards, and configuration. "
                     "Use this to inspect a specific cluster node."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -288,6 +294,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns module names, versions, capabilities, and semantic version. "
                     "Use this to see what Redis modules (RediSearch, RedisJSON, etc.) are available."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -301,6 +308,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "memory usage, connections, and other performance metrics. "
                     "Use this to monitor database performance."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -326,6 +334,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "CPU utilization, and network I/O across all nodes. "
                     "Use this to monitor overall cluster health and performance."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -346,6 +355,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get recent cluster event logs from the Admin API (/v1/logs). "
                     "Use this for an authoritative history of cluster events (maintenance, DB changes, etc.)."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -370,6 +380,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Use this to identify stuck or long-running operations, monitor progress, "
                     "and troubleshoot issues with cluster operations."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -383,6 +394,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns action progress, status, error messages, and pending operations. "
                     "Use this to monitor specific long-running operations or troubleshoot failed actions."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -402,6 +414,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Automates fetching per-action details when needed to distinguish between generic SMUpdateBDB "
                     "and a true rebalance/reshard/migrate_shard operation."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -433,6 +446,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "(master/replica), and shard status. Use this to understand shard distribution "
                     "and identify shard placement issues."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -454,6 +468,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns shard configuration, status, assigned slots, role, and node placement. "
                     "Use this to inspect a specific shard's state."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -472,6 +487,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns information about which alerts are enabled and their thresholds. "
                     "Use this to understand cluster alerting configuration."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -485,6 +501,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns database-specific alert settings and thresholds. "
                     "Use this to check what alerts are configured for a database."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -502,6 +519,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get statistics for a specific node including CPU, memory, network, "
                     "and disk I/O metrics. Use this to monitor individual node performance."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -522,68 +540,6 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ),
         ]
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        """Execute a Redis Enterprise admin API tool call.
-
-        Args:
-            tool_name: Name of the tool to execute
-            args: Tool arguments
-
-        Returns:
-            Tool execution result
-        """
-        # Parse operation from tool_name
-        # Format: {provider_name}_{instance_hash}_{operation}
-        # Example: re_admin_ffffa3_get_cluster_info
-        # The instance_hash is always 6 hex characters
-        import re
-
-        # Match the pattern: underscore + 6 hex chars + underscore + operation
-        match = re.search(r"_([0-9a-f]{6})_(.+)$", tool_name)
-        if match:
-            operation = match.group(2)  # Everything after the hash
-        else:
-            # Fallback: couldn't parse, use the whole name
-            operation = tool_name
-
-        if operation == "get_cluster_info":
-            return await self.get_cluster_info()
-        elif operation == "list_databases":
-            return await self.list_databases(**args)
-        elif operation == "get_database":
-            return await self.get_database(**args)
-        elif operation == "list_nodes":
-            return await self.list_nodes(**args)
-        elif operation == "get_node":
-            return await self.get_node(**args)
-        elif operation == "list_modules":
-            return await self.list_modules()
-        elif operation == "get_database_stats":
-            return await self.get_database_stats(**args)
-        elif operation == "get_cluster_stats":
-            return await self.get_cluster_stats(**args)
-        elif operation == "get_logs":
-            return await self.get_logs(**args)
-
-        elif operation == "list_actions":
-            return await self.list_actions()
-        elif operation == "get_action":
-            return await self.get_action(**args)
-        elif operation == "rebalance_status":
-            return await self.rebalance_status(**args)
-        elif operation == "list_shards":
-            return await self.list_shards(**args)
-        elif operation == "get_shard":
-            return await self.get_shard(**args)
-        elif operation == "get_cluster_alerts":
-            return await self.get_cluster_alerts()
-        elif operation == "get_database_alerts":
-            return await self.get_database_alerts(**args)
-        elif operation == "get_node_stats":
-            return await self.get_node_stats(**args)
-        else:
-            raise ValueError(f"Unknown operation: {operation} (from tool: {tool_name})")
-
     @status_update("I'm querying the Redis Enterprise Admin API for cluster info.")
     async def get_cluster_info(self) -> Dict[str, Any]:
         """Get cluster information.
@@ -1112,7 +1068,7 @@ async def system_hosts(self) -> List[Any]:
 
         Returns SystemHost entries using /v1/nodes 'addr' field.
         """
-        from redis_sre_agent.tools.protocols import SystemHost
+        from redis_sre_agent.tools.models import SystemHost
 
         try:
             client = self.get_client()
diff --git a/redis_sre_agent/tools/cloud/redis_cloud/__init__.py b/redis_sre_agent/tools/cloud/redis_cloud/__init__.py
index ac2770d9..d4b182b2 100644
--- a/redis_sre_agent/tools/cloud/redis_cloud/__init__.py
+++ b/redis_sre_agent/tools/cloud/redis_cloud/__init__.py
@@ -4,12 +4,13 @@
 Redis Cloud Management API.
 
 Example usage:
-    from redis_sre_agent.tools.cloud.redis_cloud import RedisCloudToolProvider
+    from redis_sre_agent.tools.cloud.redis_cloud import RedisCloudConfig, RedisCloudToolProvider
 
-    provider = RedisCloudToolProvider()
+    provider = RedisCloudToolProvider(config=RedisCloudConfig())
     async with provider:
-        tools = provider.create_tool_schemas()
-        result = await provider.resolve_tool_call("redis_cloud_abc123_list_subscriptions", {})
+        # Call the concrete async methods directly; ToolProvider.tools() wires
+        # tools for LLM use on top of these methods.
+        result = await provider.list_subscriptions()
 """
 
 from .provider import RedisCloudConfig, RedisCloudToolProvider
diff --git a/redis_sre_agent/tools/cloud/redis_cloud/provider.py b/redis_sre_agent/tools/cloud/redis_cloud/provider.py
index d74d47af..56a6895f 100644
--- a/redis_sre_agent/tools/cloud/redis_cloud/provider.py
+++ b/redis_sre_agent/tools/cloud/redis_cloud/provider.py
@@ -5,13 +5,13 @@
 """
 
 import logging
-from typing import Any, Dict, List, Optional
+from typing import Any, List, Optional
 
 from pydantic import Field, SecretStr
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
+from redis_sre_agent.tools.models import ToolCapability, ToolDefinition
 from redis_sre_agent.tools.protocols import ToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
 
 from .api_client.api.account import get_current_account, get_supported_regions
 from .api_client.api.databases_essentials import (
@@ -42,6 +42,17 @@
 logger = logging.getLogger(__name__)
 
 
+def _to_dict_safe(obj: Any) -> Any:
+    """Convert API response object to dict if possible, otherwise return as-is.
+
+    The Redis Cloud API client returns attrs-based objects with to_dict() methods
+    for successful responses, but returns None for error cases.
+    """
+    if obj is None:
+        return obj
+    return obj.to_dict()
+
+
 class RedisCloudConfig(BaseSettings):
     """Configuration for Redis Cloud Management API provider.
 
@@ -119,15 +130,11 @@ def __init__(
         self._database_name: Optional[str] = None
         if redis_instance is not None:
             try:
-                if getattr(redis_instance, "instance_type", None) == "redis_cloud":
-                    self._subscription_id = getattr(
-                        redis_instance, "redis_cloud_subscription_id", None
-                    )
-                    self._database_id = getattr(redis_instance, "redis_cloud_database_id", None)
-                    self._subscription_type = getattr(
-                        redis_instance, "redis_cloud_subscription_type", None
-                    )
-                    self._database_name = getattr(redis_instance, "redis_cloud_database_name", None)
+                if redis_instance.instance_type == "redis_cloud":
+                    self._subscription_id = redis_instance.redis_cloud_subscription_id
+                    self._database_id = redis_instance.redis_cloud_database_id
+                    self._subscription_type = redis_instance.redis_cloud_subscription_type
+                    self._database_name = redis_instance.redis_cloud_database_name
             except Exception:
                 # Be defensive; absence of attributes shouldn't break provider init
                 pass
@@ -136,6 +143,12 @@ def __init__(
     def provider_name(self) -> str:
         return "redis_cloud"
 
+    @property
+    def default_requires_instance(self) -> Optional[bool]:
+        """Redis Cloud management tools do not require a specific Redis instance."""
+
+        return False
+
     def get_client(self) -> GeneratedClient:
         """Get or create the generated Redis Cloud API client (lazy initialization)."""
         if self._client is None:
@@ -175,6 +188,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get current Redis Cloud account details including account ID, name, "
                     "and other account-level information."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -187,6 +201,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get list of available regions for Redis Cloud Pro subscriptions. "
                     "Returns region names, cloud providers, and availability zones."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -200,6 +215,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "List all Redis Cloud Pro subscriptions in the account. "
                     "Returns subscription IDs, names, status, regions, and configuration."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -212,6 +228,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get detailed information about the configured Redis Cloud subscription for this instance. "
                     "Includes configuration, status, pricing, and resource details."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -225,6 +242,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "List all databases in the configured Redis Cloud subscription for this instance. "
                     "Returns database IDs, names, status, endpoints, and configuration."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -237,6 +255,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get detailed information about the configured Redis Cloud database for this instance. "
                     "Includes endpoints, memory size, throughput, modules, and status."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -250,6 +269,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "List all users in the Redis Cloud account. "
                     "Returns user IDs, names, emails, roles, and status."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -259,6 +279,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ToolDefinition(
                 name=self._make_tool_name("get_user"),
                 description=("Get detailed information about a specific user in the account."),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -278,6 +299,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Tasks track background operations like creating/updating resources. "
                     "Returns task IDs, status, progress, and resource information."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -290,6 +312,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get detailed information about a specific task. "
                     "Use this to check the status of asynchronous operations."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -308,6 +331,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "List all cloud accounts (AWS) linked to the Redis Cloud account. "
                     "Returns cloud account IDs, provider, credentials status, and regions."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -316,156 +340,133 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ),
         ]
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        """Execute a Redis Cloud API tool call.
+    # --- Account operations -------------------------------------------------
 
-        Args:
-            tool_name: Name of the tool to execute
-            args: Tool arguments
+    async def get_account(self) -> Any:
+        """Get information about the current Redis Cloud account."""
+
+        client = self.get_client()
+        obj = await get_current_account.asyncio(client=client)
+        return _to_dict_safe(obj)
+
+    async def get_regions(self) -> Any:
+        """Return the list of supported regions for the current account."""
+
+        client = self.get_client()
+        obj = await get_supported_regions.asyncio(client=client)
+        data = _to_dict_safe(obj)
+        return data.get("regions", []) if isinstance(data, dict) else []
+
+    # --- Subscription operations -------------------------------------------
+
+    async def list_subscriptions(self) -> Any:
+        """List Pro subscriptions for the account."""
+
+        client = self.get_client()
+        obj = await pro_list_subscriptions.asyncio(client=client)
+        return _to_dict_safe(obj)
+
+    async def get_subscription(self) -> Any:
+        """Get details for the configured subscription.
 
-        Returns:
-            Tool execution result
+        The subscription ID and optional type are taken from this provider's
+        configuration.
         """
-        # Parse operation from tool_name
-        # Format: redis_cloud_{hash}_operation -> operation
-        # The hash is 6 characters (from hex(id(self))[2:8])
-        # So we need to skip "redis_cloud_" (12 chars) + hash (6 chars) + "_" (1 char) = 19 chars
-        prefix = f"{self.provider_name}_{self._instance_hash}_"
-        if tool_name.startswith(prefix):
-            operation = tool_name[len(prefix) :]
-        else:
-            # Fallback: try to extract operation from the end
-            parts = tool_name.split("_")
-            if len(parts) >= 3:
-                # Skip provider name and hash, take the rest
-                operation = "_".join(parts[2:])
-            else:
-                operation = tool_name
 
         client = self.get_client()
+        if self._subscription_id is None:
+            raise ValueError("Redis Cloud subscription ID is not configured for this instance.")
 
-        # Account operations
-        if operation == "get_account":
-            obj = await get_current_account.asyncio(client=client)
-            return obj.to_dict() if hasattr(obj, "to_dict") else obj
-        elif operation == "get_regions":
-            obj = await get_supported_regions.asyncio(client=client)
-            data = obj.to_dict() if hasattr(obj, "to_dict") else obj
-            return data.get("regions", []) if isinstance(data, dict) else []
-
-        # Subscription operations
-        elif operation == "list_subscriptions":
-            # Pro subscriptions (Essentials list is separate if needed)
-            obj = await pro_list_subscriptions.asyncio(client=client)
-            return obj.to_dict() if hasattr(obj, "to_dict") else obj
-        elif operation == "get_subscription":
-            if self._subscription_id is None:
-                raise ValueError("Redis Cloud subscription ID is not configured for this instance.")
-            stype = (self._subscription_type or "").lower() if self._subscription_type else None
-            if stype == "essentials" or stype == "fixed":
-                obj = await ess_get_subscription_by_id.asyncio(
-                    subscription_id=self._subscription_id, client=client
+        stype = (self._subscription_type or "").lower() if self._subscription_type else None
+        if stype == "essentials" or stype == "fixed":
+            obj = await ess_get_subscription_by_id.asyncio(
+                subscription_id=self._subscription_id, client=client
+            )
+            if obj is not None:
+                return _to_dict_safe(obj)
+            # Fallback to pro if not found
+            obj = await pro_get_subscription_by_id.asyncio(
+                subscription_id=self._subscription_id, client=client
+            )
+            if obj is None:
+                raise ValueError(
+                    f"Subscription {self._subscription_id} not found (essentials or pro)."
                 )
-                if obj is not None:
-                    return obj.to_dict() if hasattr(obj, "to_dict") else obj
-                # Fallback to pro if not found
-                obj = await pro_get_subscription_by_id.asyncio(
+            return _to_dict_safe(obj)
+
+        if stype == "pro":
+            obj = await pro_get_subscription_by_id.asyncio(
+                subscription_id=self._subscription_id, client=client
+            )
+            if obj is None:
+                # Fallback to essentials in case type was incorrect
+                obj = await ess_get_subscription_by_id.asyncio(
                     subscription_id=self._subscription_id, client=client
                 )
                 if obj is None:
                     raise ValueError(
-                        f"Subscription {self._subscription_id} not found (essentials or pro)."
+                        f"Subscription {self._subscription_id} not found (pro or essentials)."
                     )
-                return obj.to_dict() if hasattr(obj, "to_dict") else obj
-            if stype == "pro":
-                obj = await pro_get_subscription_by_id.asyncio(
-                    subscription_id=self._subscription_id, client=client
-                )
-                if obj is None:
-                    # Fallback to essentials in case type was incorrect
-                    obj = await ess_get_subscription_by_id.asyncio(
-                        subscription_id=self._subscription_id, client=client
-                    )
-                    if obj is None:
-                        raise ValueError(
-                            f"Subscription {self._subscription_id} not found (pro or essentials)."
-                        )
-                return obj.to_dict() if hasattr(obj, "to_dict") else obj
-            # Unknown type: try essentials then pro
-            obj = await ess_get_subscription_by_id.asyncio(
+            return _to_dict_safe(obj)
+
+        # Unknown type: try essentials then pro
+        obj = await ess_get_subscription_by_id.asyncio(
+            subscription_id=self._subscription_id, client=client
+        )
+        if obj is None:
+            obj = await pro_get_subscription_by_id.asyncio(
                 subscription_id=self._subscription_id, client=client
             )
             if obj is None:
-                obj = await pro_get_subscription_by_id.asyncio(
-                    subscription_id=self._subscription_id, client=client
-                )
-                if obj is None:
-                    raise ValueError(f"Subscription {self._subscription_id} not found.")
-            return obj.to_dict() if hasattr(obj, "to_dict") else obj
-
-        # Database operations
-        elif operation == "list_databases":
-            if self._subscription_id is None:
-                raise ValueError("Redis Cloud subscription ID is not configured for this instance.")
-            stype = (self._subscription_type or "").lower() if self._subscription_type else None
-
-            # Helper to normalize Pro response shape
-            def _extract_pro_dbs(payload: Any) -> list:
-                data = payload.to_dict() if hasattr(payload, "to_dict") else payload
-                subs = data.get("subscription") if isinstance(data, dict) else None
-                if isinstance(subs, list) and subs:
-                    return subs[0].get("databases", [])
-                return []
-
-            # Helper to normalize Essentials response shape
-            def _extract_ess_dbs(payload: Any) -> list:
-                data = payload.to_dict() if hasattr(payload, "to_dict") else payload
-                return (
-                    data.get("subscription", {}).get("databases", [])
-                    if isinstance(data, dict)
-                    else []
-                )
+                raise ValueError(f"Subscription {self._subscription_id} not found.")
+        return _to_dict_safe(obj)
 
-            # If user specified a type, try that first but fall back to the other type on empty/None
-            if stype == "pro":
-                logger.debug(
-                    f"Redis Cloud: listing databases (pro) for subscription {self._subscription_id}"
-                )
-                obj = await pro_get_subscription_databases.asyncio(
-                    subscription_id=self._subscription_id, client=client
-                )
-                dbs = _extract_pro_dbs(obj) if obj is not None else []
-                if dbs:
-                    return dbs
-                logger.debug(
-                    "Redis Cloud: no results from pro endpoint, falling back to essentials"
-                )
-                obj = await ess_get_subscription_databases.asyncio(
-                    subscription_id=self._subscription_id, client=client
-                )
-                return _extract_ess_dbs(obj) if obj is not None else []
+    # --- Database operations -----------------------------------------------
 
-            if stype == "essentials" or stype == "fixed":
-                logger.debug(
-                    f"Redis Cloud: listing databases (essentials) for subscription {self._subscription_id}"
-                )
-                obj = await ess_get_subscription_databases.asyncio(
-                    subscription_id=self._subscription_id, client=client
-                )
-                dbs = _extract_ess_dbs(obj) if obj is not None else []
-                if dbs:
-                    return dbs
-                logger.debug(
-                    "Redis Cloud: no results from essentials endpoint, falling back to pro"
-                )
-                obj = await pro_get_subscription_databases.asyncio(
-                    subscription_id=self._subscription_id, client=client
-                )
-                return _extract_pro_dbs(obj) if obj is not None else []
+    async def list_databases(self) -> list:
+        """List databases for the configured subscription."""
+
+        client = self.get_client()
+        if self._subscription_id is None:
+            raise ValueError("Redis Cloud subscription ID is not configured for this instance.")
+
+        stype = (self._subscription_type or "").lower() if self._subscription_type else None
+
+        # Helper to normalize Pro response shape
+        def _extract_pro_dbs(payload: Any) -> list:
+            data = _to_dict_safe(payload)
+            subs = data.get("subscription") if isinstance(data, dict) else None
+            if isinstance(subs, list) and subs:
+                return subs[0].get("databases", [])
+            return []
+
+        # Helper to normalize Essentials response shape
+        def _extract_ess_dbs(payload: Any) -> list:
+            data = _to_dict_safe(payload)
+            return (
+                data.get("subscription", {}).get("databases", []) if isinstance(data, dict) else []
+            )
+
+        # If user specified a type, try that first but fall back to the other type on empty/None
+        if stype == "pro":
+            logger.debug(
+                f"Redis Cloud: listing databases (pro) for subscription {self._subscription_id}"
+            )
+            obj = await pro_get_subscription_databases.asyncio(
+                subscription_id=self._subscription_id, client=client
+            )
+            dbs = _extract_pro_dbs(obj) if obj is not None else []
+            if dbs:
+                return dbs
+            logger.debug("Redis Cloud: no results from pro endpoint, falling back to essentials")
+            obj = await ess_get_subscription_databases.asyncio(
+                subscription_id=self._subscription_id, client=client
+            )
+            return _extract_ess_dbs(obj) if obj is not None else []
 
-            # Unknown type: try essentials first; if empty, try pro
+        if stype == "essentials" or stype == "fixed":
             logger.debug(
-                f"Redis Cloud: listing databases (auto-detect) for subscription {self._subscription_id}"
+                f"Redis Cloud: listing databases (essentials) for subscription {self._subscription_id}"
             )
             obj = await ess_get_subscription_databases.asyncio(
                 subscription_id=self._subscription_id, client=client
@@ -473,112 +474,147 @@ def _extract_ess_dbs(payload: Any) -> list:
             dbs = _extract_ess_dbs(obj) if obj is not None else []
             if dbs:
                 return dbs
+            logger.debug("Redis Cloud: no results from essentials endpoint, falling back to pro")
             obj = await pro_get_subscription_databases.asyncio(
                 subscription_id=self._subscription_id, client=client
             )
             return _extract_pro_dbs(obj) if obj is not None else []
-        elif operation == "get_database":
-            if self._subscription_id is None:
-                raise ValueError("Redis Cloud subscription ID is not configured for this instance.")
-            stype = (self._subscription_type or "").lower() if self._subscription_type else None
-            # Prefer ID; fallback to name if provided
-            if self._database_id is not None:
-                if stype == "essentials" or stype == "fixed":
-                    logger.debug(
-                        f"Redis Cloud: get database (essentials) sub={self._subscription_id} db={self._database_id}"
-                    )
-                    obj = await ess_get_subscription_database_by_id.asyncio(
-                        subscription_id=self._subscription_id,
-                        database_id=self._database_id,
-                        client=client,
-                    )
-                    if obj is not None:
-                        return obj.to_dict() if hasattr(obj, "to_dict") else obj
-                    logger.debug("Redis Cloud: not found on essentials endpoint, trying pro")
-                    obj = await pro_get_subscription_database_by_id.asyncio(
-                        subscription_id=self._subscription_id,
-                        database_id=self._database_id,
-                        client=client,
-                    )
-                    if obj is None:
-                        raise ValueError(
-                            f"Database {self._database_id} not found in subscription {self._subscription_id}."
-                        )
-                    return obj.to_dict() if hasattr(obj, "to_dict") else obj
-                if stype == "pro":
-                    logger.debug(
-                        f"Redis Cloud: get database (pro) sub={self._subscription_id} db={self._database_id}"
-                    )
-                    obj = await pro_get_subscription_database_by_id.asyncio(
-                        subscription_id=self._subscription_id,
-                        database_id=self._database_id,
-                        client=client,
-                    )
-                    if obj is not None:
-                        return obj.to_dict() if hasattr(obj, "to_dict") else obj
-                    logger.debug("Redis Cloud: not found on pro endpoint, trying essentials")
-                    obj = await ess_get_subscription_database_by_id.asyncio(
-                        subscription_id=self._subscription_id,
-                        database_id=self._database_id,
-                        client=client,
-                    )
-                    if obj is None:
-                        raise ValueError(
-                            f"Database {self._database_id} not found in subscription {self._subscription_id}."
-                        )
-                    return obj.to_dict() if hasattr(obj, "to_dict") else obj
-                # Unknown type: try essentials, then pro
+
+        # Unknown type: try essentials first; if empty, try pro
+        logger.debug(
+            f"Redis Cloud: listing databases (auto-detect) for subscription {self._subscription_id}"
+        )
+        obj = await ess_get_subscription_databases.asyncio(
+            subscription_id=self._subscription_id, client=client
+        )
+        dbs = _extract_ess_dbs(obj) if obj is not None else []
+        if dbs:
+            return dbs
+        obj = await pro_get_subscription_databases.asyncio(
+            subscription_id=self._subscription_id, client=client
+        )
+        return _extract_pro_dbs(obj) if obj is not None else []
+
+    async def get_database(self) -> Any:
+        """Get details for the configured database.
+
+        Database ID or name is taken from this provider's configuration.
+        """
+
+        client = self.get_client()
+        if self._subscription_id is None:
+            raise ValueError("Redis Cloud subscription ID is not configured for this instance.")
+
+        stype = (self._subscription_type or "").lower() if self._subscription_type else None
+
+        # Prefer ID; fallback to name if provided
+        if self._database_id is not None:
+            if stype == "essentials" or stype == "fixed":
                 logger.debug(
-                    f"Redis Cloud: get database (auto-detect) sub={self._subscription_id} db={self._database_id}"
+                    f"Redis Cloud: get database (essentials) sub={self._subscription_id} db={self._database_id}"
                 )
                 obj = await ess_get_subscription_database_by_id.asyncio(
                     subscription_id=self._subscription_id,
                     database_id=self._database_id,
                     client=client,
                 )
+                if obj is not None:
+                    return _to_dict_safe(obj)
+                logger.debug("Redis Cloud: not found on essentials endpoint, trying pro")
+                obj = await pro_get_subscription_database_by_id.asyncio(
+                    subscription_id=self._subscription_id,
+                    database_id=self._database_id,
+                    client=client,
+                )
                 if obj is None:
-                    obj = await pro_get_subscription_database_by_id.asyncio(
-                        subscription_id=self._subscription_id,
-                        database_id=self._database_id,
-                        client=client,
-                    )
-                    if obj is None:
-                        raise ValueError(
-                            f"Database {self._database_id} not found in subscription {self._subscription_id}."
-                        )
-                return obj.to_dict() if hasattr(obj, "to_dict") else obj
-
-            if self._database_name:
-                dbs = await self.resolve_tool_call(self._make_tool_name("list_databases"), {})
-                matches = [d for d in dbs if str(d.get("name")) == str(self._database_name)]
-                if not matches:
                     raise ValueError(
-                        f"Database named '{self._database_name}' not found in subscription {self._subscription_id}."
+                        f"Database {self._database_id} not found in subscription {self._subscription_id}."
                     )
-                if len(matches) > 1:
+                return _to_dict_safe(obj)
+
+            if stype == "pro":
+                logger.debug(
+                    f"Redis Cloud: get database (pro) sub={self._subscription_id} db={self._database_id}"
+                )
+                obj = await pro_get_subscription_database_by_id.asyncio(
+                    subscription_id=self._subscription_id,
+                    database_id=self._database_id,
+                    client=client,
+                )
+                if obj is not None:
+                    return _to_dict_safe(obj)
+                logger.debug("Redis Cloud: not found on pro endpoint, trying essentials")
+                obj = await ess_get_subscription_database_by_id.asyncio(
+                    subscription_id=self._subscription_id,
+                    database_id=self._database_id,
+                    client=client,
+                )
+                if obj is None:
                     raise ValueError(
-                        f"Multiple databases named '{self._database_name}' found; please specify database ID."
+                        f"Database {self._database_id} not found in subscription {self._subscription_id}."
                     )
-                return matches[0]
-            raise ValueError(
-                "Redis Cloud database identifier is not configured for this instance (provide database ID or name)."
+                return _to_dict_safe(obj)
+
+            # Unknown type: try essentials, then pro
+            logger.debug(
+                f"Redis Cloud: get database (auto-detect) sub={self._subscription_id} db={self._database_id}"
+            )
+            obj = await ess_get_subscription_database_by_id.asyncio(
+                subscription_id=self._subscription_id,
+                database_id=self._database_id,
+                client=client,
             )
+            if obj is None:
+                obj = await pro_get_subscription_database_by_id.asyncio(
+                    subscription_id=self._subscription_id,
+                    database_id=self._database_id,
+                    client=client,
+                )
+                if obj is None:
+                    raise ValueError(
+                        f"Database {self._database_id} not found in subscription {self._subscription_id}."
+                    )
+            return _to_dict_safe(obj)
+
+        if self._database_name:
+            dbs = await self.list_databases()
+            matches = [d for d in dbs if str(d.get("name")) == str(self._database_name)]
+            if not matches:
+                raise ValueError(
+                    f"Database named '{self._database_name}' not found in subscription {self._subscription_id}."
+                )
+            if len(matches) > 1:
+                raise ValueError(
+                    f"Multiple databases named '{self._database_name}' found; please specify database ID."
+                )
+            return matches[0]
 
-        # User operations
-        elif operation == "list_users":
-            return await client.list_users()
-        elif operation == "get_user":
-            return await client.get_user(args["user_id"])
+        raise ValueError(
+            "Redis Cloud database identifier is not configured for this instance (provide database ID or name)."
+        )
 
-        # Task operations
-        elif operation == "list_tasks":
-            return await client.list_tasks()
-        elif operation == "get_task":
-            return await client.get_task(args["task_id"])
+    # --- User operations ----------------------------------------------------
 
-        # Cloud account operations
-        elif operation == "list_cloud_accounts":
-            return await client.list_cloud_accounts()
+    async def list_users(self) -> Any:
+        client = self.get_client()
+        return await client.list_users()
 
-        else:
-            raise ValueError(f"Unknown operation: {operation} (from tool: {tool_name})")
+    async def get_user(self, user_id: int) -> Any:
+        client = self.get_client()
+        return await client.get_user(user_id)
+
+    # --- Task operations ----------------------------------------------------
+
+    async def list_tasks(self) -> Any:
+        client = self.get_client()
+        return await client.list_tasks()
+
+    async def get_task(self, task_id: str) -> Any:
+        client = self.get_client()
+        return await client.get_task(task_id)
+
+    # --- Cloud account operations ------------------------------------------
+
+    async def list_cloud_accounts(self) -> Any:
+        client = self.get_client()
+        return await client.list_cloud_accounts()
diff --git a/redis_sre_agent/tools/diagnostics/redis_command/provider.py b/redis_sre_agent/tools/diagnostics/redis_command/provider.py
index d3c65e79..773d9add 100644
--- a/redis_sre_agent/tools/diagnostics/redis_command/provider.py
+++ b/redis_sre_agent/tools/diagnostics/redis_command/provider.py
@@ -16,8 +16,12 @@
 
 from redis_sre_agent.core.instances import RedisInstance
 from redis_sre_agent.tools.decorators import status_update
-from redis_sre_agent.tools.protocols import SystemHost, ToolCapability, ToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
+from redis_sre_agent.tools.models import (
+    SystemHost,
+    ToolCapability,
+    ToolDefinition,
+)
+from redis_sre_agent.tools.protocols import ToolProvider
 
 logger = logging.getLogger(__name__)
 tracer = trace.get_tracer(__name__)
@@ -57,9 +61,6 @@ class RedisCommandToolProvider(ToolProvider):
     The provider is initialized with a connection URL and manages the Redis client lifecycle.
     """
 
-    # Declare capabilities so orchestrators can obtain a diagnostics provider via ToolManager
-    capabilities = {ToolCapability.DIAGNOSTICS}
-
     def __init__(
         self,
         redis_instance: Optional[RedisInstance] = None,
@@ -124,6 +125,12 @@ def __init__(
     def provider_name(self) -> str:
         return "redis_command"
 
+    @property
+    def default_requires_instance(self) -> Optional[bool]:
+        """Diagnostics tools for redis_command always require a Redis instance."""
+
+        return True
+
     def get_client(self) -> Redis:
         """Get or create the Redis client (lazy initialization).
 
@@ -158,6 +165,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "replication status, and performance metrics. Can query specific sections "
                     "or get all information."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -180,6 +188,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "performance issues by identifying commands that took longer than "
                     "the configured slowlog threshold to execute."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -199,6 +208,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Use this to diagnose security issues, permission denials, and "
                     "authentication problems."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -217,6 +227,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get Redis configuration values using CONFIG GET. Use this to inspect "
                     "Redis configuration settings. Supports pattern matching with wildcards."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -238,6 +249,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "connection issues, identify problematic clients, or check client "
                     "connection details."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -261,6 +273,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "cluster state, slots distribution, and cluster health. Only works "
                     "if Redis is running in cluster mode."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -273,6 +286,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Get Redis replication information including role, connected replicas, "
                     "and replication lag. Use this to diagnose replication issues."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -286,6 +300,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "for in-depth memory analysis including allocator stats, fragmentation, "
                     "and memory breakdown by category."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -299,6 +314,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns a sample of unique keys with their types. Prefer this for lightweight "
                     "inspections of the data model and type distribution."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -317,6 +333,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "List all Redis Search (RediSearch) indexes using FT._LIST. "
                     "Use this to discover what search indexes exist in the Redis instance."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {},
@@ -330,6 +347,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Returns schema, statistics, and configuration for the specified index. "
                     "Use this to understand index structure, document count, and performance metrics."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -366,7 +384,14 @@ def get_status_update(self, tool_name: str, args: Dict[str, Any]) -> Optional[st
         return None
 
     def resolve_operation(self, tool_name: str, args: Dict[str, Any]) -> Optional[str]:
-        """Map tool_name to concrete method names for decorator/status usage."""
+        """Map tool_name to concrete method names for decorator/status usage.
+
+        We preserve the richer mapping here so status_update messages can
+        distinguish between different INFO/CLIENT/CONFIG variants while the
+        new :meth:`ToolProvider.tools` wiring still calls the concrete
+        async methods directly.
+        """
+
         op = tool_name.split("_")[-1]
         if op == "info":
             if "cluster" in tool_name:
@@ -392,49 +417,6 @@ def resolve_operation(self, tool_name: str, args: Dict[str, Any]) -> Optional[st
             return "search_indexes"
         return op
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        """Route tool call to appropriate method.
-
-        Args:
-            tool_name: Tool name (e.g., "redis_command_a3f2b1_info")
-            args: Tool arguments
-
-        Returns:
-            Tool execution result
-        """
-        # Defensive: Remove connection_url if LLM passes it (provider already has it)
-        args = {k: v for k, v in args.items() if k != "connection_url"}
-
-        # Extract operation from tool name
-        operation = tool_name.split("_")[-1]
-
-        if operation == "info":
-            # Disambiguate between different info commands
-            if "cluster" in tool_name:
-                return await self.cluster_info()
-            elif "replication" in tool_name:
-                return await self.replication_info()
-            elif "index" in tool_name:
-                return await self.search_index_info(**args)
-            else:
-                return await self.info(**args)
-        elif operation == "slowlog":
-            return await self.slowlog(**args)
-        elif operation == "log" and "acl" in tool_name:
-            return await self.acl_log(**args)
-        elif operation == "get" and "config" in tool_name:
-            return await self.config_get(**args)
-        elif operation == "list" and "client" in tool_name:
-            return await self.client_list(**args)
-        elif operation == "stats" and "memory" in tool_name:
-            return await self.memory_stats()
-        elif operation == "keys":
-            return await self.sample_keys(**args)
-        elif operation == "indexes":
-            return await self.search_indexes()
-        else:
-            raise ValueError(f"Unknown operation: {operation} (from tool: {tool_name})")
-
     @status_update("I'm running Redis INFO to collect server metrics ({section}).")
     async def info(self, section: Optional[str] = None) -> Dict[str, Any]:
         """Execute Redis INFO command.
@@ -1013,7 +995,7 @@ def add_host(
         # 4) Final fallback: use connection_url hostname/port
         if not hosts:
             try:
-                url = getattr(self, "connection_url", None)
+                url = self.connection_url
                 if url:
                     p = urlparse(url)
                     if p.hostname:
diff --git a/redis_sre_agent/tools/host_telemetry/provider.py b/redis_sre_agent/tools/host_telemetry/provider.py
index 2b26a6a7..2b1cdc60 100644
--- a/redis_sre_agent/tools/host_telemetry/provider.py
+++ b/redis_sre_agent/tools/host_telemetry/provider.py
@@ -15,14 +15,13 @@
 
 from pydantic import BaseModel, Field
 
+from redis_sre_agent.tools.models import ToolCapability, ToolDefinition
 from redis_sre_agent.tools.protocols import (
     DiagnosticsProviderProtocol,
     LogsProviderProtocol,
     MetricsProviderProtocol,
-    ToolCapability,
     ToolProvider,
 )
-from redis_sre_agent.tools.tool_definition import ToolDefinition
 
 logger = logging.getLogger(__name__)
 
@@ -59,32 +58,41 @@ class HostTelemetryConfig(BaseModel):
 class HostTelemetryToolProvider(ToolProvider):
     """Backend-agnostic host telemetry tools built on provider Protocols."""
 
-    provider_name = "host_telemetry"
     instance_config_model = HostTelemetryConfig
     extension_namespace = "host_telemetry"
 
+    @property
+    def provider_name(self) -> str:
+        return "host_telemetry"
+
     @property
     def _metrics_providers(self) -> List[MetricsProviderProtocol]:
-        mgr = getattr(self, "_manager", None)
+        mgr = self._manager
         if not mgr:
             return []
         return mgr.get_providers_for_capability(ToolCapability.METRICS)  # type: ignore[return-value]
 
     @property
     def _logs_providers(self) -> List[LogsProviderProtocol]:
-        mgr = getattr(self, "_manager", None)
+        mgr = self._manager
         if not mgr:
             return []
         return mgr.get_providers_for_capability(ToolCapability.LOGS)  # type: ignore[return-value]
 
     @property
     def _diag_providers(self) -> List[DiagnosticsProviderProtocol]:
-        mgr = getattr(self, "_manager", None)
+        mgr = self._manager
         if not mgr:
             return []
         return mgr.get_providers_for_capability(ToolCapability.DIAGNOSTICS)  # type: ignore[return-value]
 
     def create_tool_schemas(self) -> List[ToolDefinition]:
+        """Create tool schemas for host telemetry operations.
+
+        These tools orchestrate calls to metrics/logs/diagnostics providers and
+        are treated as DIAGNOSTICS capability tools by the manager.
+        """
+
         return [
             ToolDefinition(
                 name=self._make_tool_name("list_hosts"),
@@ -92,6 +100,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "List hosts to use with metrics/logs providers. Uses instance config hosts when provided, "
                     "otherwise attempts discovery from diagnostics via the system_hosts protocol."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={"type": "object", "properties": {}, "required": []},
             ),
             ToolDefinition(
@@ -100,6 +109,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Query host metrics for one or more hosts using configured metric aliases. "
                     "Each alias is a PromQL template that includes {host}. Queries all available metrics providers."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -136,6 +146,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Query host logs for one or more hosts. Builds provider-specific selectors from config and "
                     "combines keywords into a single safe regex. Queries all available log providers."
                 ),
+                capability=ToolCapability.DIAGNOSTICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -159,29 +170,16 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ),
         ]
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        parts = tool_name.split("_")
-        # Format: {provider_name}_{hash}_{operation}; provider_name can contain underscores
-        op = "_".join(parts[3:]) if len(parts) >= 4 else tool_name
-        if op == "list_hosts":
-            return await self.list_hosts()
-        if op == "get_host_metrics":
-            return await self.get_host_metrics(**args)
-        if op == "get_host_logs":
-            return await self.get_host_logs(**args)
-        raise ValueError(f"Unknown operation: {op} (from tool: {tool_name})")
-
     # --------------------------------- Helpers ---------------------------------
 
     async def _discover_hosts_via_diagnostics(self) -> List[str]:
         hosts: set[str] = set()
         for diag in self._diag_providers:
-            # Only use an explicit system_hosts() API if the diagnostics provider implements it
-            system_hosts_fn = getattr(diag, "system_hosts", None)
-            if not callable(system_hosts_fn):
+            # Only use providers that implement the full DiagnosticsProviderProtocol
+            if not isinstance(diag, DiagnosticsProviderProtocol):
                 continue
             try:
-                items = await system_hosts_fn()
+                items = await diag.system_hosts()
             except Exception:
                 continue
             if not items:
@@ -191,7 +189,7 @@ async def _discover_hosts_via_diagnostics(self) -> List[str]:
                     if isinstance(item, dict):
                         h = item.get("host")
                     else:
-                        h = getattr(item, "host", None)
+                        h = item.host
                     if isinstance(h, str) and h:
                         hosts.add(h)
                 except Exception:
@@ -232,11 +230,11 @@ async def list_hosts(self) -> Dict[str, Any]:
         # Diagnostics discovery via explicit system_hosts() API
         discovered_any = False
         for diag in self._diag_providers:
-            system_hosts_fn = getattr(diag, "system_hosts", None)
-            if not callable(system_hosts_fn):
+            # Only use providers that implement the full DiagnosticsProviderProtocol
+            if not isinstance(diag, DiagnosticsProviderProtocol):
                 continue
             try:
-                items = await system_hosts_fn()
+                items = await diag.system_hosts()
             except Exception:
                 continue
             if not items:
@@ -250,10 +248,10 @@ async def list_hosts(self) -> Dict[str, Any]:
                         role = item.get("role")
                         labels = item.get("labels") or {}
                     else:
-                        host = getattr(item, "host", None)
-                        port = getattr(item, "port", None)
-                        role = getattr(item, "role", None)
-                        labels = getattr(item, "labels", {}) or {}
+                        host = item.host
+                        port = item.port
+                        role = item.role
+                        labels = item.labels or {}
                     if isinstance(host, str) and host:
                         if host not in hosts:
                             hosts.append(host)
@@ -310,7 +308,7 @@ async def run_query(provider: MetricsProviderProtocol, host: str, key: str):
                     query=q, start_time=start_time, end_time=end_time, step=step_val
                 )
                 return {
-                    "provider": getattr(provider, "provider_name", "metrics"),
+                    "provider": provider.provider_name,
                     "host": host,
                     "key": key,
                     "query": q,
@@ -318,7 +316,7 @@ async def run_query(provider: MetricsProviderProtocol, host: str, key: str):
                 }
             except Exception as e:
                 return {
-                    "provider": getattr(provider, "provider_name", "metrics"),
+                    "provider": provider.provider_name,
                     "host": host,
                     "key": key,
                     "query": q,
@@ -359,14 +357,14 @@ async def run_query(provider: LogsProviderProtocol, host: str):
                     query=q, start=start, end=end, direction=direction, limit=limit
                 )
                 return {
-                    "provider": getattr(provider, "provider_name", "logs"),
+                    "provider": provider.provider_name,
                     "host": host,
                     "query": q,
                     "result": res,
                 }
             except Exception as e:
                 return {
-                    "provider": getattr(provider, "provider_name", "logs"),
+                    "provider": provider.provider_name,
                     "host": host,
                     "query": q,
                     "error": str(e),
diff --git a/redis_sre_agent/tools/knowledge/knowledge_base.py b/redis_sre_agent/tools/knowledge/knowledge_base.py
index 20bf83f6..d4df209c 100644
--- a/redis_sre_agent/tools/knowledge/knowledge_base.py
+++ b/redis_sre_agent/tools/knowledge/knowledge_base.py
@@ -18,8 +18,8 @@
     search_knowledge_base_helper,
 )
 from redis_sre_agent.tools.decorators import status_update
-from redis_sre_agent.tools.protocols import ToolCapability, ToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
+from redis_sre_agent.tools.models import ToolCapability, ToolDefinition
+from redis_sre_agent.tools.protocols import ToolProvider
 
 logger = logging.getLogger(__name__)
 tracer = trace.get_tracer(__name__)
@@ -33,13 +33,16 @@ class KnowledgeBaseToolProvider(ToolProvider):
     SRE procedures.
     """
 
-    # Declare knowledge capability
-    capabilities = {ToolCapability.KNOWLEDGE}
-
     @property
     def provider_name(self) -> str:
         return "knowledge"
 
+    @property
+    def default_requires_instance(self) -> Optional[bool]:
+        """Knowledge base tools do not depend on a specific Redis instance."""
+
+        return False
+
     def create_tool_schemas(self) -> List[ToolDefinition]:
         """Create tool schemas for knowledge base operations."""
         return [
@@ -52,6 +55,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "guidance on SRE best practices. Always cite the source document and title "
                     "when using information from search results."
                 ),
+                capability=ToolCapability.KNOWLEDGE,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -87,6 +91,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "troubleshooting guides, or other SRE documentation. The document will be "
                     "chunked, embedded, and indexed for future searches."
                 ),
+                capability=ToolCapability.KNOWLEDGE,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -136,6 +141,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Use this when you need to see the complete content of a document that was "
                     "found via search. Requires the document_hash from a search result."
                 ),
+                capability=ToolCapability.KNOWLEDGE,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -154,6 +160,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Use this to explore related content or find additional context "
                     "around a specific piece of information."
                 ),
+                capability=ToolCapability.KNOWLEDGE,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -187,25 +194,6 @@ def _operation_from_tool(self, tool_name: str) -> str:
     def resolve_operation(self, tool_name: str, args: Dict[str, Any]) -> Optional[str]:
         return self._operation_from_tool(tool_name)
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        """Execute a knowledge base tool call.
-
-        The tool_name includes the provider name and instance hash that we created,
-        so we just need to match the operation suffix.
-        """
-        operation = self._operation_from_tool(tool_name)
-
-        if operation == "search":
-            return await self.search(**args)
-        elif operation == "ingest":
-            return await self.ingest(**args)
-        elif operation == "get_all_fragments":
-            return await self.get_all_fragments(**args)
-        elif operation == "get_related_fragments":
-            return await self.get_related_fragments(**args)
-        else:
-            raise ValueError(f"Unknown operation: {operation} (from tool: {tool_name})")
-
     @status_update("I'm searching the knowledge base for {query}.")
     async def search(
         self,
diff --git a/redis_sre_agent/tools/logs/loki/provider.py b/redis_sre_agent/tools/logs/loki/provider.py
index 63d19608..5fd0a67b 100644
--- a/redis_sre_agent/tools/logs/loki/provider.py
+++ b/redis_sre_agent/tools/logs/loki/provider.py
@@ -27,8 +27,8 @@
 from pydantic_settings import BaseSettings, SettingsConfigDict
 
 from redis_sre_agent.tools.decorators import status_update
-from redis_sre_agent.tools.protocols import ToolCapability, ToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
+from redis_sre_agent.tools.models import ToolCapability, ToolDefinition
+from redis_sre_agent.tools.protocols import ToolProvider
 
 logger = logging.getLogger(__name__)
 
@@ -81,9 +81,6 @@ class LokiToolProvider(ToolProvider):
     instance_config_model = LokiInstanceConfig
     extension_namespace = "loki"
 
-    # Declare capabilities so orchestrators can request a logs provider via ToolManager
-    capabilities = {ToolCapability.LOGS}
-
     def __init__(self, redis_instance=None, config: Optional[LokiConfig] = None):
         super().__init__(redis_instance)
         self.config = config or LokiConfig()
@@ -172,6 +169,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Query Loki at a single point in time using LogQL. Use this for metric-style "
                     'queries (e.g., sum(rate({job="foo"}[5m]))) or to compute values.'
                 ),
+                capability=ToolCapability.LOGS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -199,6 +197,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                 description=(
                     "Query Loki over a time range using LogQL. Supports both log and metric queries."
                 ),
+                capability=ToolCapability.LOGS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -229,6 +228,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ToolDefinition(
                 name=self._make_tool_name("labels"),
                 description="List known labels within a time span (optionally scoped by a selector)",
+                capability=ToolCapability.LOGS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -249,6 +249,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ToolDefinition(
                 name=self._make_tool_name("label_values"),
                 description="List known values for a label within a time span",
+                capability=ToolCapability.LOGS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -270,6 +271,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ToolDefinition(
                 name=self._make_tool_name("series"),
                 description="List streams (unique label sets) matching selectors over a time range",
+                capability=ToolCapability.LOGS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -289,6 +291,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                 description=(
                     "Query log volume (bytes/chunks) aggregated by label or series. Requires Loki volume_enabled."
                 ),
+                capability=ToolCapability.LOGS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -315,6 +318,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                 description=(
                     "Detect and count log patterns for a selector over time. Requires pattern_ingester enabled."
                 ),
+                capability=ToolCapability.LOGS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -328,26 +332,6 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ),
         ]
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        # Extract operation (everything after provider/hash)
-        parts = tool_name.split("_")
-        operation = "_".join(parts[2:]) if len(parts) >= 3 else tool_name
-        if operation == "query":
-            return await self.query(**args)
-        if operation == "query_range":
-            return await self.query_range(**args)
-        if operation == "labels":
-            return await self.labels(**args)
-        if operation == "label_values":
-            return await self.label_values(**args)
-        if operation == "series":
-            return await self.series(**args)
-        if operation == "volume":
-            return await self.volume(**args)
-        if operation == "patterns":
-            return await self.patterns(**args)
-        raise ValueError(f"Unknown operation: {operation} (from tool: {tool_name})")
-
     async def _request(
         self, method: str, path: str, params: Dict[str, Any] | None = None, data: Any | None = None
     ) -> Dict[str, Any]:
@@ -395,15 +379,15 @@ def _fix_empty_stream_selector(self, query: str) -> str:
                 selectors: List[str] = []
                 # Include per-instance preferred streams first, if provided
                 try:
-                    ic = getattr(self, "instance_config", None)
-                    if ic and getattr(ic, "prefer_streams", None):
+                    ic = self.instance_config
+                    if ic and ic.prefer_streams:
                         for lbls in ic.prefer_streams or []:
                             try:
                                 selectors.append(self._selector_from_labels(lbls or {}))
                             except Exception:
                                 continue
                     # Optional per-instance default selector
-                    if ic and getattr(ic, "default_selector", None):
+                    if ic and ic.default_selector:
                         ds_inst = (ic.default_selector or "").strip()
                         if ds_inst:
                             selectors.append(ds_inst)
diff --git a/redis_sre_agent/tools/manager.py b/redis_sre_agent/tools/manager.py
index 2eb2684f..ba06ae80 100644
--- a/redis_sre_agent/tools/manager.py
+++ b/redis_sre_agent/tools/manager.py
@@ -15,8 +15,8 @@
 
 from redis_sre_agent.core.instances import RedisInstance
 
+from .models import Tool, ToolCapability, ToolDefinition
 from .protocols import ToolProvider
-from .tool_definition import ToolDefinition
 
 logger = logging.getLogger(__name__)
 tracer = trace.get_tracer(__name__)
@@ -63,8 +63,14 @@ def __init__(self, redis_instance: Optional[RedisInstance] = None):
         # Track loaded provider class paths to avoid duplicates
         self._loaded_provider_paths: set[str] = set()
 
+        # Mapping from tool name -> provider instance
         self._routing_table: Dict[str, ToolProvider] = {}
-        self._tools: List[ToolDefinition] = []
+        # Flattened list of Tool objects from all providers
+        self._tools: List[Tool] = []
+        # Direct lookup from tool name -> Tool
+        self._tool_by_name: Dict[str, Tool] = {}
+        # Loaded provider instances (in load order, de-duplicated by class path)
+        self._providers: List[ToolProvider] = []
         self._stack: Optional[AsyncExitStack] = None
         # Per-run cache of tool results: (tool_name, stable_args_json) -> result
         self._call_cache: Dict[str, Any] = {}
@@ -89,8 +95,10 @@ async def __aenter__(self) -> "ToolManager":
                 await self._load_provider(provider_path)
 
             # Load additional providers based on instance type
-            itype = getattr(
-                self.redis_instance.instance_type, "value", self.redis_instance.instance_type
+            itype = (
+                self.redis_instance.instance_type.value
+                if self.redis_instance.instance_type
+                else None
             )
             instance_type = itype or "unknown"
             logger.info(f"Instance type: {instance_type}")
@@ -180,16 +188,23 @@ async def _load_provider(self, provider_path: str, always_on: bool = False) -> N
             except Exception:
                 pass
 
-            # Register tools in routing table
-            tool_schemas = provider.create_tool_schemas()
-            for tool_def in tool_schemas:
-                self._routing_table[tool_def.name] = provider
-                self._tools.append(tool_def)
+            # Register tools in routing table from the provider's Tool objects
+            tools = provider.tools()
+            for tool in tools:
+                name = tool.metadata.name
+                if not name:
+                    continue
+                self._routing_table[name] = provider
+                self._tools.append(tool)
+                self._tool_by_name[name] = tool
+
+            # Track provider instance
+            self._providers.append(provider)
 
             # Mark this provider as loaded to avoid duplicates later
             self._loaded_provider_paths.add(provider_path)
 
-            logger.info(f"Loaded provider {provider.provider_name} with {len(tool_schemas)} tools")
+            logger.info(f"Loaded provider {provider.provider_name} with {len(tools)} tools")
 
         except Exception:
             logger.exception(f"Failed to load provider {provider_path}")
@@ -209,7 +224,7 @@ def _get_provider_class(cls, provider_path: str) -> type:
         if provider_path not in cls._provider_class_cache:
             module_path, class_name = provider_path.rsplit(".", 1)
             module = __import__(module_path, fromlist=[class_name])
-            cls._provider_class_cache[provider_path] = getattr(module, class_name)
+            cls._provider_class_cache[provider_path] = module.__dict__[class_name]
         return cls._provider_class_cache[provider_path]
 
     async def __aexit__(self, *args) -> None:
@@ -223,29 +238,34 @@ async def __aexit__(self, *args) -> None:
                 await self._stack.__aexit__(*args)
         finally:
             # Break back-references from providers to this manager
+            providers: List[ToolProvider] = []
             try:
-                providers = {p for p in self._routing_table.values()}
+                providers = list(self._providers)
             except Exception:
-                providers = set()
+                providers = []
             for p in providers:
                 try:
-                    # Property setter converts to weakref None
+                    # Break provider -> manager back-reference
                     p._manager = None
                 except Exception:
                     pass
             # Clear strong refs held by manager
             self._routing_table.clear()
             self._tools.clear()
+            self._tool_by_name.clear()
+            self._providers.clear()
             self._loaded_provider_paths.clear()
             self._call_cache.clear()
 
+    # ----- Tool lookup APIs used by LLM bindings -----
+
     def get_tools(self) -> List[ToolDefinition]:
         """Get all registered tool schemas.
 
         Returns:
             List of ToolDefinition objects for LLM binding
         """
-        return self._tools
+        return [t.schema for t in self._tools]
 
     def get_tools_by_provider_names(self, provider_names: List[str]) -> List[ToolDefinition]:
         """Return tools belonging to providers with given provider_name values.
@@ -262,11 +282,11 @@ def get_tools_by_provider_names(self, provider_names: List[str]) -> List[ToolDef
                 return []
             results: List[ToolDefinition] = []
             # Filter tools by the provider that registered them
-            for td in self._tools:
-                provider = self._routing_table.get(td.name)
-                pname = getattr(provider, "provider_name", None)
+            for tool in self._tools:
+                provider = self._routing_table.get(tool.metadata.name)
+                pname = provider.provider_name if provider else None
                 if isinstance(pname, str) and pname.lower() in wanted:
-                    results.append(td)
+                    results.append(tool.schema)
             return results
         except Exception:
             # Be conservative; if anything goes wrong, return no tools
@@ -289,22 +309,24 @@ def get_providers_for_capability(self, capability: Any) -> List["ToolProvider"]:
         Providers may implement multiple capabilities. The returned list is de-duplicated
         and preserves load order.
         """
-        from .protocols import ToolCapability as _Cap  # local import to avoid cycles
-
-        if not isinstance(capability, _Cap):
+        if not isinstance(capability, ToolCapability):
             raise ValueError(f"Invalid capability: {capability}")
 
-        # Unique providers in load order
-        seen = set()
+        # Unique providers in load order based on tools' capabilities
+        seen: set[int] = set()
         ordered_unique: List[ToolProvider] = []
-        for provider in self._routing_table.values():
-            if id(provider) in seen:
-                continue
-            seen.add(id(provider))
+        for tool in self._tools:
             try:
-                caps = getattr(provider, "capabilities", set()) or set()
-                if capability in caps:
-                    ordered_unique.append(provider)
+                if tool.metadata.capability is not capability:
+                    continue
+                provider = self._routing_table.get(tool.metadata.name)
+                if not provider:
+                    continue
+                pid = id(provider)
+                if pid in seen:
+                    continue
+                seen.add(pid)
+                ordered_unique.append(provider)
             except Exception:
                 continue
         return ordered_unique
@@ -328,48 +350,29 @@ def get_providers_for_protocol(self, protocol_cls: Any) -> List["ToolProvider"]:
                 continue
         return ordered_unique
 
-    def _filter_tools_by_providers(
-        self, providers: List["ToolProvider"], allowed_ops: Optional[set[str]] = None
-    ) -> List[ToolDefinition]:
-        """Helper: return ToolDefinitions belonging to the given providers, optionally restricted by operation name.
-
-        Operation name is parsed as the substring after the provider prefix and instance hash,
-        i.e., name.split("_", 2)[2] when possible. This preserves multi-token ops like 'date_math'.
-        """
+    def _filter_tools_by_providers(self, providers: List["ToolProvider"]) -> List[ToolDefinition]:
+        """Helper: return ToolDefinitions belonging to the given providers."""
         try:
             provider_ids = {id(p) for p in providers or []}
             results: List[ToolDefinition] = []
-            for td in self._tools:
-                p = self._routing_table.get(td.name)
-                if id(p) not in provider_ids:
+            for tool in self._tools:
+                p = self._routing_table.get(tool.metadata.name)
+                if not p or id(p) not in provider_ids:
                     continue
-                if allowed_ops:
-                    try:
-                        nm = td.name or ""
-                        parts = nm.split("_", 2)
-                        op = parts[2] if len(parts) >= 3 else (parts[-1] if parts else nm)
-                        if op not in allowed_ops:
-                            continue
-                    except Exception:
-                        continue
-                results.append(td)
+                results.append(tool.schema)
             return results
         except Exception:
             return []
 
-    def get_tools_for_capability(
-        self, capability: Any, allowed_ops: Optional[set[str]] = None
-    ) -> List[ToolDefinition]:
-        """Return tool schemas for providers declaring a capability, optionally filtered by ops."""
+    def get_tools_for_capability(self, capability: Any) -> List[ToolDefinition]:
+        """Return tool schemas for providers declaring a capability."""
         providers = self.get_providers_for_capability(capability)
-        return self._filter_tools_by_providers(providers, allowed_ops=allowed_ops)
+        return self._filter_tools_by_providers(providers)
 
-    def get_tools_for_protocol(
-        self, protocol_cls: Any, allowed_ops: Optional[set[str]] = None
-    ) -> List[ToolDefinition]:
-        """Return tool schemas for providers satisfying a protocol, optionally filtered by ops."""
+    def get_tools_for_protocol(self, protocol_cls: Any) -> List[ToolDefinition]:
+        """Return tool schemas for providers satisfying a protocol."""
         providers = self.get_providers_for_protocol(protocol_cls)
-        return self._filter_tools_by_providers(providers, allowed_ops=allowed_ops)
+        return self._filter_tools_by_providers(providers)
 
     def get_provider_for_capability(self, capability: Any) -> Optional["ToolProvider"]:
         """Return the first provider that declares the capability, or None."""
@@ -390,7 +393,8 @@ async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
             ValueError: If tool name not found in routing table
         """
         provider = self._routing_table.get(tool_name)
-        if not provider:
+        tool = self._tool_by_name.get(tool_name)
+        if not provider or not tool:
             available_tools = list(self._routing_table.keys())
             raise ValueError(
                 f"Unknown tool: {tool_name}. "
@@ -411,7 +415,7 @@ async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
             return self._call_cache[cache_key]
 
         # OTel: per-tool resolve span
-        _provider_name = getattr(provider, "provider_name", None)
+        _provider_name = provider.provider_name if provider else None
         _op = None
         try:
             _op = provider.resolve_operation(tool_name, args)  # type: ignore[attr-defined]
@@ -425,7 +429,7 @@ async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
                 "tool.operation": str(_op) if _op else "",
             },
         ):
-            result = await provider.resolve_tool_call(tool_name, args)
+            result = await tool.invoke(args)
         # Cache result for this run
         self._call_cache[cache_key] = result
         return result
diff --git a/redis_sre_agent/tools/metrics/prometheus/provider.py b/redis_sre_agent/tools/metrics/prometheus/provider.py
index 16f1f223..715621aa 100644
--- a/redis_sre_agent/tools/metrics/prometheus/provider.py
+++ b/redis_sre_agent/tools/metrics/prometheus/provider.py
@@ -16,8 +16,8 @@
 
 from redis_sre_agent.core.instances import RedisInstance
 from redis_sre_agent.tools.decorators import status_update
-from redis_sre_agent.tools.protocols import ToolCapability, ToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
+from redis_sre_agent.tools.models import ToolCapability, ToolDefinition
+from redis_sre_agent.tools.protocols import ToolProvider
 
 logger = logging.getLogger(__name__)
 
@@ -46,8 +46,6 @@ class PrometheusConfig(BaseSettings):
 
 
 class PrometheusToolProvider(ToolProvider):
-    # Declare capabilities so orchestrators can obtain a metrics provider via ToolManager
-    capabilities = {ToolCapability.METRICS}
     """Prometheus metrics provider using prometheus-api-client.
 
     Provides tools for querying Prometheus metrics, including:
@@ -85,77 +83,9 @@ def __init__(
     def provider_name(self) -> str:
         return "prometheus"
 
-    def get_client(self) -> PrometheusConnect:
-        """Get or create the Prometheus client (lazy initialization).
-
-        Returns:
-            PrometheusConnect: Initialized Prometheus client
-        """
-        if self._client is None:
-            self._client = PrometheusConnect(
-                url=self.config.url, disable_ssl=self.config.disable_ssl
-            )
-            logger.info(f"Connected to Prometheus at {self.config.url}")
-        return self._client
-
-    async def __aenter__(self):
-        """Support async context manager (no-op, client is lazily initialized)."""
-        return self
-
-    async def __aexit__(self, _exc_type, _exc_val, _exc_tb):
-        """Support async context manager (no-op, no cleanup needed)."""
-
-    async def _wait_for_targets(self, timeout_seconds: float = 10.0) -> None:
-        """Wait until Prometheus reports at least one active target.
-
-        This helps when a Prometheus instance has just started and hasn't scraped yet.
-        """
-        import time
-
-        import requests
-
-        base = self.config.url.rstrip("/")
-        deadline = time.time() + timeout_seconds
-        last_err = None
-        while time.time() < deadline:
-            try:
-                r = requests.get(f"{base}/api/v1/targets", timeout=2)
-                if r.status_code == 200:
-                    payload = r.json()
-                    if payload.get("status") == "success":
-                        active = payload.get("data", {}).get("activeTargets", [])
-                        if active:
-                            return
-            except Exception as e:  # best-effort readiness
-                last_err = e
-            await asyncio.sleep(0.5)
-        # Do not raise; queries may still succeed even if this didn't detect targets
-        if last_err:
-            logger.debug(f"_wait_for_targets encountered: {last_err}")
-
-        pass
-
-    async def _http_get_json(
-        self, path: str, params: Optional[Dict[str, Any]] = None
-    ) -> Dict[str, Any]:
-        import requests
-
-        base = self.config.url.rstrip("/")
-        url = f"{base}{path}"
-        # Use a thread to avoid blocking the event loop
-        try:
-            resp = await asyncio.to_thread(lambda: requests.get(url, params=params, timeout=5))
-        except Exception as e:
-            # Surface HTTP/network errors as an error payload instead of raising.
-            # This lets callers fall back to retry paths (e.g., client.all_metrics()).
-            return {"status": "error", "error": str(e)}
-        try:
-            return resp.json()
-        except Exception:
-            return {"status": "error", "error": f"Non-JSON response: {resp.text[:200]}"}
-
     def create_tool_schemas(self) -> List[ToolDefinition]:
-        """Create tool schemas for Prometheus operations."""
+        """Create tool schemas for Prometheus metric queries."""
+
         return [
             ToolDefinition(
                 name=self._make_tool_name("query"),
@@ -165,6 +95,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "such as CPU usage, memory consumption, network I/O, or disk space. "
                     "Returns the most recent value for the specified metric."
                 ),
+                capability=ToolCapability.METRICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -189,6 +120,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "historical performance issues. Returns time-series data for the "
                     "specified metric over the requested time period."
                 ),
+                capability=ToolCapability.METRICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -221,6 +153,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Examples: 'redis_memory' finds Redis memory metrics, 'network' finds network metrics, "
                     "'' (empty string) lists all available metrics."
                 ),
+                capability=ToolCapability.METRICS,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -245,32 +178,74 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ),
         ]
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        """Execute a Prometheus tool call.
-
-        Args:
-            tool_name: Name of the tool to execute
-            args: Tool arguments
+    def get_client(self) -> PrometheusConnect:
+        """Get or create the Prometheus client (lazy initialization).
 
         Returns:
-            Tool execution result
+            PrometheusConnect: Initialized Prometheus client
+        """
+        if self._client is None:
+            self._client = PrometheusConnect(
+                url=self.config.url, disable_ssl=self.config.disable_ssl
+            )
+            logger.info(f"Connected to Prometheus at {self.config.url}")
+        return self._client
+
+    async def __aenter__(self):
+        """Support async context manager (no-op, client is lazily initialized)."""
+        return self
+
+    async def __aexit__(self, _exc_type, _exc_val, _exc_tb):
+        """Support async context manager (no-op, no cleanup needed)."""
+
+    async def _wait_for_targets(self, timeout_seconds: float = 10.0) -> None:
+        """Wait until Prometheus reports at least one active target.
+
+        This helps when a Prometheus instance has just started and hasn't scraped yet.
         """
-        # Parse operation from tool_name
-        # Format: prometheus_{hash}_query -> query
-        parts = tool_name.split("_")
-        if len(parts) >= 3:
-            operation = "_".join(parts[2:])  # Everything after provider_hash
-        else:
-            operation = tool_name
-
-        if operation == "query":
-            return await self.query(**args)
-        elif operation == "query_range":
-            return await self.query_range(**args)
-        elif operation == "search_metrics":
-            return await self.search_metrics(**args)
-        else:
-            raise ValueError(f"Unknown operation: {operation} (from tool: {tool_name})")
+        import time
+
+        import requests
+
+        base = self.config.url.rstrip("/")
+        deadline = time.time() + timeout_seconds
+        last_err = None
+        while time.time() < deadline:
+            try:
+                r = requests.get(f"{base}/api/v1/targets", timeout=2)
+                if r.status_code == 200:
+                    payload = r.json()
+                    if payload.get("status") == "success":
+                        active = payload.get("data", {}).get("activeTargets", [])
+                        if active:
+                            return
+            except Exception as e:  # best-effort readiness
+                last_err = e
+            await asyncio.sleep(0.5)
+        # Do not raise; queries may still succeed even if this didn't detect targets
+        if last_err:
+            logger.debug(f"_wait_for_targets encountered: {last_err}")
+
+        pass
+
+    async def _http_get_json(
+        self, path: str, params: Optional[Dict[str, Any]] = None
+    ) -> Dict[str, Any]:
+        import requests
+
+        base = self.config.url.rstrip("/")
+        url = f"{base}{path}"
+        # Use a thread to avoid blocking the event loop
+        try:
+            resp = await asyncio.to_thread(lambda: requests.get(url, params=params, timeout=5))
+        except Exception as e:
+            # Surface HTTP/network errors as an error payload instead of raising.
+            # This lets callers fall back to retry paths (e.g., client.all_metrics()).
+            return {"status": "error", "error": str(e)}
+        try:
+            return resp.json()
+        except Exception:
+            return {"status": "error", "error": f"Non-JSON response: {resp.text[:200]}"}
 
     @status_update("I'm querying Prometheus for metrics.")
     async def query(self, query: str) -> Dict[str, Any]:
diff --git a/redis_sre_agent/tools/models.py b/redis_sre_agent/tools/models.py
new file mode 100644
index 00000000..cef13848
--- /dev/null
+++ b/redis_sre_agent/tools/models.py
@@ -0,0 +1,124 @@
+from enum import Enum
+from typing import Any, Dict, Optional
+
+from pydantic import BaseModel, Field
+
+
+class ToolCapability(Enum):
+    """Capabilities that tools can provide."""
+
+    METRICS = "metrics"
+    LOGS = "logs"
+    TICKETS = "tickets"
+    REPOS = "repos"
+    TRACES = "traces"
+    DIAGNOSTICS = "diagnostics"  # For deep instance diagnostics (Redis INFO, key sampling, etc.)
+    KNOWLEDGE = "knowledge"  # Knowledge base search/ingest and fragment retrieval
+    UTILITIES = "utilities"  # Non-destructive utility functions (calc, date/time, http_head)
+
+
+class ToolMetadata(BaseModel):
+    """Metadata about a concrete tool implementation.
+
+    This is attached to the :class:`Tool` wrapper alongside the
+    :class:`~redis_sre_agent.tools.tool_definition.ToolDefinition` schema
+    and the callable used to execute the tool.
+    """
+
+    name: str
+    description: str
+    capability: ToolCapability
+    provider_name: str
+    requires_instance: bool = False
+
+
+class Tool(BaseModel):
+    """Concrete tool object combining schema, metadata, and executor.
+
+    Attributes:
+        metadata: :class:`ToolMetadata` describing the tool for routing.
+        schema: The :class:`ToolDefinition` shown to the LLM (stored as ``Any``
+            here to avoid import cycles).
+        invoke: Async callable taking a single ``Dict[str, Any]`` of arguments
+            and returning the tool result.
+    """
+
+    metadata: ToolMetadata
+    schema: Any
+    invoke: Any
+
+
+class SystemHost(BaseModel):
+    """Represents a system host target for metrics/logs discovery.
+
+    This describes where the Redis system is running (nodes, primaries/replicas,
+    cluster nodes, or Enterprise machines), not necessarily database endpoints.
+    """
+
+    host: str
+    port: Optional[int] = None
+    role: Optional[str] = None  # e.g., single, master, replica, cluster-master, enterprise-node
+    labels: Dict[str, str] = {}
+
+
+class ToolDefinition(BaseModel):
+    """Definition of a tool that the LLM can call.
+
+    This is a pure schema object - it describes the tool to the LLM but
+    does not contain the execution logic. Execution happens via ToolManager
+    routing the tool call to the appropriate ToolProvider.
+
+    Example:
+        tool = ToolDefinition(
+            name="prometheus_a3f2b1_query_metrics",
+            description="Query Prometheus metrics for a specific metric name",
+            capability=ToolCapability.METRICS,
+            parameters={
+                "type": "object",
+                "properties": {
+                    "metric_name": {
+                        "type": "string",
+                        "description": "Name of the metric to query"
+                    }
+                },
+                "required": ["metric_name"]
+            }
+        )
+    """
+
+    name: str = Field(
+        ...,
+        description="Unique tool name with provider and instance hash",
+    )
+
+    description: str = Field(
+        ...,
+        description="Verbose description for the LLM on when and how to use this tool",
+    )
+
+    parameters: Dict[str, Any] = Field(
+        ...,
+        description="JSON schema for tool parameters (OpenAI function calling format)",
+    )
+
+    capability: ToolCapability = Field(
+        ...,
+        description=(
+            "High-level capability category for this tool (e.g., METRICS, LOGS, "
+            "DIAGNOSTICS, UTILITIES, KNOWLEDGE)."
+        ),
+    )
+
+    class Config:
+        """Pydantic configuration."""
+
+        extra = "forbid"
+
+    def __str__(self) -> str:
+        """String representation."""
+        return f"ToolDefinition(name={self.name})"
+
+    def __repr__(self) -> str:
+        """Detailed representation."""
+        param_names = list(self.parameters.get("properties", {}).keys())
+        return f"ToolDefinition(name={self.name}, parameters={param_names})"
diff --git a/redis_sre_agent/tools/protocols.py b/redis_sre_agent/tools/protocols.py
index a48eeb2c..b478ef42 100644
--- a/redis_sre_agent/tools/protocols.py
+++ b/redis_sre_agent/tools/protocols.py
@@ -5,32 +5,17 @@
 HostTelemetry and other orchestrators can program against.
 """
 
-import weakref
 from abc import ABC, abstractmethod
-from datetime import datetime
-from enum import Enum
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Protocol, runtime_checkable
 
 from pydantic import BaseModel
 
+from .models import SystemHost, Tool, ToolCapability, ToolDefinition, ToolMetadata
+
 if TYPE_CHECKING:
     from redis_sre_agent.core.instances import RedisInstance
 
     from .manager import ToolManager
-    from .tool_definition import ToolDefinition
-
-
-class ToolCapability(Enum):
-    """Capabilities that tools can provide."""
-
-    METRICS = "metrics"
-    LOGS = "logs"
-    TICKETS = "tickets"
-    REPOS = "repos"
-    TRACES = "traces"
-    DIAGNOSTICS = "diagnostics"  # For deep instance diagnostics (Redis INFO, key sampling, etc.)
-    KNOWLEDGE = "knowledge"  # Knowledge base search/ingest and fragment retrieval
-    UTILITIES = "utilities"  # Non-destructive utility functions (calc, date/time, http_head)
 
 
 # --------------------------- Optional provider Protocols ---------------------------
@@ -63,6 +48,7 @@ async def series(
     ) -> Dict[str, Any]: ...
 
 
+@runtime_checkable
 class DiagnosticsProviderProtocol(Protocol):
     async def info(self, section: Optional[str] = None) -> Dict[str, Any]: ...
     async def replication_info(self) -> Dict[str, Any]: ...
@@ -111,154 +97,30 @@ async def timezone_converter(
     async def http_head(self, url: str, timeout: Optional[float] = 2.0) -> Dict[str, Any]: ...
 
 
-# --------------------------- Lightweight data classes ---------------------------
-
-
-class MetricValue:
-    """Represents a metric value with timestamp."""
-
-    def __init__(
-        self,
-        value: float | int,
-        timestamp: Optional[datetime] = None,
-        labels: Optional[Dict[str, str]] = None,
-    ):
-        self.value = value
-        self.timestamp = timestamp or datetime.now()
-        self.labels = labels or {}
-
-
-class MetricDefinition:
-    """Defines a metric with metadata."""
-
-    def __init__(self, name: str, description: str, unit: str, metric_type: str = "gauge"):
-        self.name = name
-        self.description = description
-        self.unit = unit
-        self.metric_type = metric_type  # gauge, counter, histogram, etc.
-
-
-class TimeRange:
-    """Represents a time range for queries."""
-
-    def __init__(self, start: datetime, end: datetime):
-        self.start = start
-        self.end = end
-
-
-class LogEntry:
-    """Represents a log entry."""
-
-    def __init__(
-        self,
-        timestamp: datetime,
-        level: str,
-        message: str,
-        source: str,
-        labels: Optional[Dict[str, str]] = None,
-    ):
-        self.timestamp = timestamp
-        self.level = level
-        self.message = message
-        self.source = source
-        self.labels = labels or {}
-
-
-class SystemHost(BaseModel):
-    """Represents a system host target for metrics/logs discovery.
-
-    This describes where the Redis system is running (nodes, primaries/replicas,
-    cluster nodes, or Enterprise machines), not necessarily database endpoints.
-    """
-
-    host: str
-    port: Optional[int] = None
-    role: Optional[str] = None  # e.g., single, master, replica, cluster-master, enterprise-node
-    labels: Dict[str, str] = {}
-
-
-class Ticket:
-    """Represents a ticket/issue."""
-
-    def __init__(
-        self,
-        id: str,
-        title: str,
-        description: str,
-        status: str,
-        assignee: Optional[str] = None,
-        labels: Optional[List[str]] = None,
-    ):
-        self.id = id
-        self.title = title
-        self.description = description
-        self.status = status
-        self.assignee = assignee
-        self.labels = labels or []
-
-
-class Repository:
-    """Represents a code repository."""
-
-    def __init__(
-        self,
-        name: str,
-        url: str,
-        default_branch: str = "main",
-        languages: Optional[List[str]] = None,
-    ):
-        self.name = name
-        self.url = url
-        self.default_branch = default_branch
-        self.languages = languages or []
-
-
-class TraceSpan:
-    """Represents a trace span."""
-
-    def __init__(
-        self,
-        trace_id: str,
-        span_id: str,
-        operation_name: str,
-        start_time: datetime,
-        duration_ms: float,
-        tags: Optional[Dict[str, str]] = None,
-    ):
-        self.trace_id = trace_id
-        self.span_id = span_id
-        self.operation_name = operation_name
-        self.start_time = start_time
-        self.duration_ms = duration_ms
-        self.tags = tags or {}
-
-
 class ToolProvider(ABC):
     """Base class for all tool providers.
 
     Tool providers are async context managers that create tools for LLM use.
-    Each provider instance generates unique tool names using instance hashing.
-
-    Example:
-        class MyToolProvider(ToolProvider):
-            provider_name = "my_tool"
-
-            def create_tool_schemas(self) -> List[ToolDefinition]:
-                return [
-                    ToolDefinition(
-                        name=self._make_tool_name("do_something"),
-                        description="Does something useful",
-                        parameters={...},
-                    )
-                ]
-
-            async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-                if "do_something" in tool_name:
-                    return await self.do_something(**args)
-                raise ValueError(f"Unknown tool: {tool_name}")
-
-            async def do_something(self, param: str) -> Dict[str, Any]:
-                return {"result": f"Did something with {param}"}
+        Each provider instance generates unique tool names using instance hashing.
+
+        Example:
+            class MyToolProvider(ToolProvider):
+                @property
+                def provider_name(self) -> str:
+                    return "my_tool"
+
+                async def do_something(self, param: str) -> Dict[str, Any]:
+                    return {"result": f"Did something with {param}"}
+
+                def create_tool_schemas(self) -> List[ToolDefinition]:
+                    return [
+                        ToolDefinition(
+                            name=self._make_tool_name("do_something"),
+                            description="Does something useful",
+                            capability=ToolCapability.UTILITIES,
+                            parameters={...},
+                        )
+                    ]
     """
 
     # Capabilities this provider offers. Subclasses should override.
@@ -271,29 +133,8 @@ async def do_something(self, param: str) -> Dict[str, Any]:
     instance_config_model: Optional[type[BaseModel]] = None
     extension_namespace: Optional[str] = None  # defaults to provider_name
 
-    # Weak back-reference to the manager (set by ToolManager on load)
-    _manager_ref: Optional[Any] = None
-
-    @property
-    def _manager(self) -> Optional["ToolManager"]:
-        """Dynamically resolve the ToolManager from a weak reference.
-
-        Back-compat: property name matches legacy attribute so providers that
-        do getattr(self, "_manager", None) keep working without changes.
-        """
-        try:
-            ref = getattr(self, "_manager_ref", None)
-            return ref() if ref else None
-        except Exception:
-            return None
-
-    @_manager.setter
-    def _manager(self, manager: Optional["ToolManager"]) -> None:
-        """Setter accepts a strong manager and stores a weakref to avoid cycles."""
-        try:
-            self._manager_ref = weakref.ref(manager) if manager is not None else None
-        except Exception:
-            self._manager_ref = None
+    # Back-reference to the manager (set by ToolManager on load)
+    _manager: Optional["ToolManager"] = None
 
     def __init__(
         self, redis_instance: Optional["RedisInstance"] = None, config: Optional[Any] = None
@@ -332,14 +173,14 @@ def _load_instance_extension_config(self) -> Optional[BaseModel]:
         For secrets, the value should be SecretStr where possible; plain strings are accepted.
         """
         # No instance or no model -> nothing to do
-        if not getattr(self, "instance_config_model", None) or not self.redis_instance:
+        if not self.instance_config_model or not self.redis_instance:
             return None
         try:
             ns = self._get_extension_namespace()
             data: Dict[str, Any] = {}
             # Gather data
             try:
-                ext = getattr(self.redis_instance, "extension_data", None) or {}
+                ext = self.redis_instance.extension_data or {}
                 if isinstance(ext.get(ns), dict):
                     data.update(ext.get(ns) or {})
                 else:
@@ -352,7 +193,7 @@ def _load_instance_extension_config(self) -> Optional[BaseModel]:
                 pass
             # Gather secrets
             try:
-                sec = getattr(self.redis_instance, "extension_secrets", None) or {}
+                sec = self.redis_instance.extension_secrets or {}
                 # If secrets are namespaced mapping
                 sec_ns = sec.get(ns)
                 if isinstance(sec_ns, dict):
@@ -376,12 +217,31 @@ def _load_instance_extension_config(self) -> Optional[BaseModel]:
     def resolve_operation(self, tool_name: str, args: Dict[str, Any]) -> Optional[str]:
         """Map a tool_name to a provider method name.
 
-        Default implementation returns the last underscore-delimited token
-        from the tool name. Providers can override to handle more complex
-        mappings (e.g., 'config_get', 'client_list').
+        The default implementation reverses :meth:`_make_tool_name` and
+        returns the *operation* portion of the tool name:
+
+        ``{provider_name}_{instance_hash}_{operation} -> operation``
+
+        Providers can override this for more complex mappings (for example,
+        when multiple tool names share a single implementation).
         """
+
         try:
-            return tool_name.split("_")[-1]
+            # Preferred fast-path: exact prefix match based on provider name
+            # and this instance's hash.
+            prefix = f"{self.provider_name}_{self._instance_hash}_"
+            if tool_name.startswith(prefix):
+                return tool_name[len(prefix) :]
+
+            # Fallback: join everything after provider/hash. This keeps
+            # backwards compatibility with historical naming schemes such as
+            # "redis_command_abcdef_cluster_info".
+            parts = tool_name.split("_")
+            if len(parts) >= 3:
+                return "_".join(parts[2:])
+
+            # Last resort: treat the whole name as the operation.
+            return tool_name
         except Exception:
             return None
 
@@ -430,38 +290,98 @@ def _make_tool_name(self, operation: str) -> str:
         """
         return f"{self.provider_name}_{self._instance_hash}_{operation}"
 
-    @abstractmethod
+    # ----- Core tool APIs -----
+
     def create_tool_schemas(self) -> List["ToolDefinition"]:
-        """Create tool schemas for this provider.
+        """Create ToolDefinition schemas for this provider.
 
-        Each tool should have a unique name (use _make_tool_name helper).
-        If redis_instance is set, tools should be scoped to that instance
-        (e.g., don't expose instance URL parameters in the schema).
+        Providers that implement this method can rely on the default
+        :meth:`tools` implementation, which builds :class:`Tool` objects
+        using the capability declared on each :class:`ToolDefinition`.
+        Providers with special needs can still override :meth:`tools`.
+        """
+
+        raise NotImplementedError(
+            f"{self.__class__.__name__}.create_tool_schemas() is not implemented; "
+            "either override create_tool_schemas() or override tools()."
+        )
+
+    @property
+    def default_requires_instance(self) -> Optional[bool]:
+        """Default ``requires_instance`` flag for this provider's tools.
 
         Returns:
-            List of ToolDefinition objects with unique names
+            * ``True`` if tools always require a Redis instance.
+            * ``False`` if tools never require a Redis instance.
+            * ``None`` (default) to derive from whether ``redis_instance`` was provided.
         """
-        ...
 
-    @abstractmethod
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        """Execute a tool call and return the result.
+        return None
 
-        This method receives the full tool name (including hash) and arguments
-        from the LLM. It should dispatch to the appropriate method and return
-        the result.
+    def tools(self) -> List["Tool"]:
+        """Return the concrete tools exposed by this provider.
 
-        Args:
-            tool_name: Full tool name (e.g., 'prometheus_a3f2b1_query_metrics')
-            args: Tool arguments from LLM
+        The default implementation builds :class:`Tool` objects from
+        :meth:`create_tool_schemas`, using the ``capability`` on each
+        :class:`ToolDefinition` and :attr:`default_requires_instance` to
+        populate :class:`ToolMetadata`.
 
-        Returns:
-            Tool execution result (will be serialized to JSON for LLM)
+        Each tool's :pyattr:`Tool.invoke` closure is wired directly to the
+        corresponding provider method (for example, ``query_range`` on a
+        Prometheus provider), so no additional per-provider routing is required.
 
-        Raises:
-            ValueError: If tool_name is not recognized
+        Providers with special requirements (for example, per-tool
+        ``requires_instance`` flags or non-standard execution) can still
+        override this method.
         """
-        ...
+        # Get schemas from provider. Providers that override ``tools`` may
+        # ignore :meth:`create_tool_schemas` entirely.
+        schemas: List[ToolDefinition] = self.create_tool_schemas()
+
+        # Determine default requires_instance. ``None`` means derive from the
+        # presence of ``redis_instance``.
+        requires_instance = (
+            bool(self.redis_instance)
+            if self.default_requires_instance is None
+            else bool(self.default_requires_instance)
+        )
+
+        tools: List["Tool"] = []
+        for schema in schemas:
+            capability = schema.capability
+            if capability is None:
+                raise ValueError(
+                    f"ToolDefinition {schema.name!r} is missing capability; "
+                    "capability is now a required field on ToolDefinition."
+                )
+
+            meta = ToolMetadata(
+                name=schema.name,
+                description=schema.description,
+                capability=capability,
+                provider_name=self.provider_name,
+                requires_instance=requires_instance,
+            )
+
+            # Prefer a direct provider method derived from the tool name.
+            op_name = self.resolve_operation(schema.name, {}) or ""
+            # Check if method exists on the class
+            # Use getattr for legitimate metaprogramming - dynamically binding methods
+            method = getattr(self, op_name, None) if op_name else None
+
+            if not callable(method):
+                raise RuntimeError(
+                    f"Provider {self.__class__.__name__} has no method {op_name!r} "
+                    f"for tool {schema.name!r}. Define an async {op_name}() method "
+                    "or override tools() to provide a custom implementation."
+                )
+
+            async def _invoke(args: Dict[str, Any], _method=method) -> Any:
+                """Invoke the bound provider method with keyword args."""
+                return await _method(**(args or {}))
+
+            tools.append(Tool(metadata=meta, schema=schema, invoke=_invoke))
+        return tools
 
     def get_status_update(self, tool_name: str, args: Dict[str, Any]) -> Optional[str]:
         """Optional natural-language status update for this tool call.
@@ -475,10 +395,10 @@ def get_status_update(self, tool_name: str, args: Dict[str, Any]) -> Optional[st
             op = self.resolve_operation(tool_name, args)
             if not op:
                 return None
-            method = getattr(self, op, None)
+            method = self.__dict__.get(op) or type(self).__dict__.get(op)
             if not method:
                 return None
-            template = getattr(method, "_status_update_template", None)
+            template = method._status_update_template if method else None
             if not template:
                 return None
             try:
diff --git a/redis_sre_agent/tools/tool_definition.py b/redis_sre_agent/tools/tool_definition.py
deleted file mode 100644
index ffab009e..00000000
--- a/redis_sre_agent/tools/tool_definition.py
+++ /dev/null
@@ -1,79 +0,0 @@
-"""Tool definition model for LLM-callable functions.
-
-This module defines the structure of tools that are exposed to the LLM.
-Each tool has a name, description, and parameters schema. Execution happens
-via ToolManager routing to the appropriate ToolProvider.
-"""
-
-from typing import Any, Dict
-
-from pydantic import BaseModel, Field
-
-
-class ToolDefinition(BaseModel):
-    """Definition of a tool that the LLM can call.
-
-    This is a pure schema object - it describes the tool to the LLM but
-    does not contain the execution logic. Execution happens via ToolManager
-    routing the tool call to the appropriate ToolProvider.
-
-    Example:
-        tool = ToolDefinition(
-            name="prometheus_a3f2b1_query_metrics",
-            description="Query Prometheus metrics for a specific metric name",
-            parameters={
-                "type": "object",
-                "properties": {
-                    "metric_name": {
-                        "type": "string",
-                        "description": "Name of the metric to query"
-                    }
-                },
-                "required": ["metric_name"]
-            }
-        )
-    """
-
-    name: str = Field(
-        ...,
-        description="Unique tool name with provider and instance hash",
-    )
-
-    description: str = Field(
-        ...,
-        description="Verbose description for the LLM on when and how to use this tool",
-    )
-
-    parameters: Dict[str, Any] = Field(
-        ...,
-        description="JSON schema for tool parameters (OpenAI function calling format)",
-    )
-
-    class Config:
-        """Pydantic configuration."""
-
-        extra = "forbid"
-
-    def to_openai_schema(self) -> Dict[str, Any]:
-        """Convert to OpenAI function calling schema.
-
-        Returns:
-            Dictionary in OpenAI function calling format
-        """
-        return {
-            "type": "function",
-            "function": {
-                "name": self.name,
-                "description": self.description,
-                "parameters": self.parameters,
-            },
-        }
-
-    def __str__(self) -> str:
-        """String representation."""
-        return f"ToolDefinition(name={self.name})"
-
-    def __repr__(self) -> str:
-        """Detailed representation."""
-        param_names = list(self.parameters.get("properties", {}).keys())
-        return f"ToolDefinition(name={self.name}, parameters={param_names})"
diff --git a/redis_sre_agent/tools/utilities/provider.py b/redis_sre_agent/tools/utilities/provider.py
index 64dc07cb..85bdb3fc 100644
--- a/redis_sre_agent/tools/utilities/provider.py
+++ b/redis_sre_agent/tools/utilities/provider.py
@@ -15,8 +15,8 @@
 
 import pytz
 
-from redis_sre_agent.tools.protocols import ToolCapability, ToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
+from redis_sre_agent.tools.models import ToolCapability, ToolDefinition
+from redis_sre_agent.tools.protocols import ToolProvider
 
 logger = logging.getLogger(__name__)
 
@@ -30,9 +30,6 @@ class UtilitiesToolProvider(ToolProvider):
     - Timezone Converter: Convert dates between timezones
     """
 
-    # Declare utilities capability
-    capabilities = {ToolCapability.UTILITIES}
-
     # Safe operators for calculator
     SAFE_OPERATORS = {
         ast.Add: operator.add,
@@ -50,6 +47,12 @@ class UtilitiesToolProvider(ToolProvider):
     def provider_name(self) -> str:
         return "utilities"
 
+    @property
+    def default_requires_instance(self) -> Optional[bool]:
+        """Utility tools do not depend on a specific Redis instance."""
+
+        return False
+
     def create_tool_schemas(self) -> List[ToolDefinition]:
         """Create tool schemas for utility operations."""
         return [
@@ -62,6 +65,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "capacity planning. Examples: '100 * 1024 * 1024' (convert MB to bytes), "
                     "'(500 - 200) / 500 * 100' (calculate percentage change)."
                 ),
+                capability=ToolCapability.UTILITIES,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -81,6 +85,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Useful for analyzing incident timelines, calculating uptime, or determining "
                     "when events occurred. Supports ISO 8601 format and common date formats."
                 ),
+                capability=ToolCapability.UTILITIES,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -125,6 +130,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "with teams across regions. Supports all standard timezone names (e.g., "
                     "'America/New_York', 'Europe/London', 'Asia/Tokyo', 'UTC')."
                 ),
+                capability=ToolCapability.UTILITIES,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -158,6 +164,7 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
                     "Perform an HTTP HEAD request to validate a URL exists and is reachable. "
                     "Returns status code, ok flag (2xx/3xx), and final URL after redirects."
                 ),
+                capability=ToolCapability.UTILITIES,
                 parameters={
                     "type": "object",
                     "properties": {
@@ -175,35 +182,6 @@ def create_tool_schemas(self) -> List[ToolDefinition]:
             ),
         ]
 
-    async def resolve_tool_call(self, tool_name: str, args: Dict[str, Any]) -> Any:
-        """Route tool call to appropriate method."""
-        operation = tool_name.split("_")[-1]
-
-        if operation == "calculator":
-            return await self.calculator(args["expression"])
-        elif operation == "math":
-            # Extract the actual operation from the full tool name
-            # e.g., "utilities_abc123_date_math" -> need to handle "date_math"
-            return await self.date_math(
-                operation=args["operation"],
-                date1=args.get("date1"),
-                date2=args.get("date2"),
-                amount=args.get("amount"),
-                unit=args.get("unit"),
-            )
-        elif operation == "converter":
-            # Handle "timezone_converter"
-            return await self.timezone_converter(
-                datetime_str=args["datetime_str"],
-                from_timezone=args["from_timezone"],
-                to_timezone=args["to_timezone"],
-            )
-        elif operation == "head":
-            return await self.http_head(url=args["url"], timeout=args.get("timeout", 2.0))
-
-        else:
-            raise ValueError(f"Unknown operation: {operation}")
-
     async def calculator(self, expression: str) -> Dict[str, Any]:
         """Safely evaluate a mathematical expression.
 
@@ -496,8 +474,8 @@ async def http_head(self, url: str, timeout: Optional[float] = 2.0) -> Dict[str,
                 }
             req = urllib.request.Request(url, method="HEAD")
             with urllib.request.urlopen(req, timeout=timeout or 2.0) as resp:
-                status = getattr(resp, "status", None)
-                final_url = getattr(resp, "url", None)
+                status = resp.status
+                final_url = resp.url
                 ok = bool(status) and 200 <= int(status) < 400
                 return {
                     "success": True,
@@ -507,14 +485,14 @@ async def http_head(self, url: str, timeout: Optional[float] = 2.0) -> Dict[str,
                 }
         except urllib.error.HTTPError as e:
             try:
-                code = int(getattr(e, "code", 0) or 0)
+                code = int(e.code or 0)
             except Exception:
                 code = 0
             return {
                 "success": True,
                 "ok": 200 <= code < 400,
                 "status": code,
-                "final_url": getattr(e, "url", None),
+                "final_url": e.url,
             }
         except (urllib.error.URLError, socket.timeout, ValueError) as e:
             return {
diff --git a/tests/integration/tools/diagnostics/redis_command/test_redis_cli_integration.py b/tests/integration/tools/diagnostics/redis_command/test_redis_cli_integration.py
index 1f7128b4..115afac6 100644
--- a/tests/integration/tools/diagnostics/redis_command/test_redis_cli_integration.py
+++ b/tests/integration/tools/diagnostics/redis_command/test_redis_cli_integration.py
@@ -211,14 +211,14 @@ async def test_multiple_providers_coexist(redis_url, monkeypatch):
         async with ToolManager(redis_instance=redis_instance) as manager:
             tools = manager.get_tools()
 
-            # Should have both knowledge base, Prometheus, and Redis CLI tools
+            # Should have both knowledge base, Prometheus, and Redis Command tools
             knowledge_tools = [t for t in tools if "knowledge" in t.name]
             prometheus_tools = [t for t in tools if "prometheus" in t.name]
-            redis_cli_tools = [t for t in tools if "redis_cli" in t.name]
+            redis_command_tools = [t for t in tools if "redis_command" in t.name]
 
             assert len(knowledge_tools) > 0, "Knowledge base tools should be loaded"
             assert len(prometheus_tools) == 3, "Prometheus tools should be loaded"
-            assert len(redis_cli_tools) == 11, "Redis CLI tools should be loaded"
+            assert len(redis_command_tools) == 11, "Redis Command tools should be loaded"
 
     finally:
         config_module.settings = original_settings
diff --git a/tests/integration/tools/diagnostics/redis_command/test_redis_command_provider.py b/tests/integration/tools/diagnostics/redis_command/test_redis_command_provider.py
index 8fa324d1..79d5643e 100644
--- a/tests/integration/tools/diagnostics/redis_command/test_redis_command_provider.py
+++ b/tests/integration/tools/diagnostics/redis_command/test_redis_command_provider.py
@@ -8,6 +8,7 @@
 from redis_sre_agent.tools.diagnostics.redis_command import (
     RedisCommandToolProvider,
 )
+from redis_sre_agent.tools.protocols import ToolCapability
 
 
 @pytest.fixture(scope="module")
@@ -63,6 +64,7 @@ async def test_create_tool_schemas(redis_url):
             assert schema.parameters
             assert "type" in schema.parameters
             assert schema.parameters["type"] == "object"
+            assert schema.capability == ToolCapability.DIAGNOSTICS
 
 
 @pytest.mark.asyncio
@@ -139,11 +141,14 @@ async def test_replication_info_command(redis_url):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_info(redis_url):
-    """Test resolving info tool call."""
+    """Test that tools() wires the INFO tool to the provider method."""
     async with RedisCommandToolProvider(connection_url=redis_url) as provider:
         tool_name = provider._make_tool_name("info")
 
-        result = await provider.resolve_tool_call(tool_name=tool_name, args={"section": "memory"})
+        tools = provider.tools()
+        tool = next(t for t in tools if t.metadata.name == tool_name)
+
+        result = await tool.invoke({"section": "memory"})
 
         assert result["status"] == "success"
         assert result["section"] == "memory"
@@ -151,11 +156,14 @@ async def test_resolve_tool_call_info(redis_url):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_slowlog(redis_url):
-    """Test resolving slowlog tool call."""
+    """Test that tools() wires the SLOWLOG tool to the provider method."""
     async with RedisCommandToolProvider(connection_url=redis_url) as provider:
         tool_name = provider._make_tool_name("slowlog")
 
-        result = await provider.resolve_tool_call(tool_name=tool_name, args={"count": 10})
+        tools = provider.tools()
+        tool = next(t for t in tools if t.metadata.name == tool_name)
+
+        result = await tool.invoke({"count": 10})
 
         assert result["status"] == "success"
         assert "entries" in result
@@ -325,15 +333,18 @@ async def test_sample_keys_type_distribution(redis_url, redis_container):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_sample_keys(redis_url, redis_container):
-    """Test routing for sample_keys tool."""
+    """Test that tools() wires sample_keys to the provider method."""
     async with RedisCommandToolProvider(connection_url=redis_url) as provider:
         client = provider.get_client()
         await client.set("route:test", "value")
 
         schemas = provider.create_tool_schemas()
-        sample_keys_tool = [s for s in schemas if "sample_keys" in s.name][0]
+        sample_keys_name = [s.name for s in schemas if "sample_keys" in s.name][0]
+
+        tools = provider.tools()
+        sample_keys_tool = next(t for t in tools if t.metadata.name == sample_keys_name)
 
-        result = await provider.resolve_tool_call(sample_keys_tool.name, {"count": 5})
+        result = await sample_keys_tool.invoke({"count": 5})
 
         assert result["status"] == "success"
         assert result["sampled_count"] >= 1
@@ -343,12 +354,15 @@ async def test_resolve_tool_call_sample_keys(redis_url, redis_container):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_search_indexes(redis_url):
-    """Test routing for search_indexes tool."""
+    """Test that tools() wires search_indexes to the provider method."""
     async with RedisCommandToolProvider(connection_url=redis_url) as provider:
         schemas = provider.create_tool_schemas()
-        search_indexes_tool = [s for s in schemas if "search_indexes" in s.name][0]
+        search_indexes_name = [s.name for s in schemas if "search_indexes" in s.name][0]
 
-        result = await provider.resolve_tool_call(search_indexes_tool.name, {})
+        tools = provider.tools()
+        search_indexes_tool = next(t for t in tools if t.metadata.name == search_indexes_name)
+
+        result = await search_indexes_tool.invoke({})
 
         assert "status" in result
         # Will succeed or fail depending on RediSearch availability
@@ -361,12 +375,15 @@ async def test_resolve_tool_call_search_indexes(redis_url):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_search_index_info(redis_url):
-    """Test routing for search_index_info tool."""
+    """Test that tools() wires search_index_info to the provider method."""
     async with RedisCommandToolProvider(connection_url=redis_url) as provider:
         schemas = provider.create_tool_schemas()
-        search_info_tool = [s for s in schemas if "search_index_info" in s.name][0]
+        search_info_name = [s.name for s in schemas if "search_index_info" in s.name][0]
+
+        tools = provider.tools()
+        search_info_tool = next(t for t in tools if t.metadata.name == search_info_name)
 
-        result = await provider.resolve_tool_call(search_info_tool.name, {"index_name": "test_idx"})
+        result = await search_info_tool.invoke({"index_name": "test_idx"})
 
         assert "status" in result
         assert "index_name" in result
diff --git a/tests/integration/tools/metrics/prometheus/test_prometheus_provider.py b/tests/integration/tools/metrics/prometheus/test_prometheus_provider.py
index e26619e3..027ddde3 100644
--- a/tests/integration/tools/metrics/prometheus/test_prometheus_provider.py
+++ b/tests/integration/tools/metrics/prometheus/test_prometheus_provider.py
@@ -10,6 +10,7 @@
     PrometheusConfig,
     PrometheusToolProvider,
 )
+from redis_sre_agent.tools.protocols import ToolCapability
 
 
 @pytest.fixture(scope="module")
@@ -100,6 +101,7 @@ async def test_create_tool_schemas(prometheus_config):
             assert schema.parameters
             assert "type" in schema.parameters
             assert schema.parameters["type"] == "object"
+            assert schema.capability == ToolCapability.METRICS
 
 
 @pytest.mark.asyncio
@@ -151,11 +153,14 @@ async def test_search_metrics_all(prometheus_config):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_query(prometheus_config):
-    """Test resolving tool calls through the routing mechanism."""
+    """Test that tools() wires the query tool to the provider method."""
     async with PrometheusToolProvider(config=prometheus_config) as provider:
         tool_name = provider._make_tool_name("query")
 
-        result = await provider.resolve_tool_call(tool_name=tool_name, args={"query": "up"})
+        tools = provider.tools()
+        tool = next(t for t in tools if t.metadata.name == tool_name)
+
+        result = await tool.invoke({"query": "up"})
 
         assert result["status"] == "success"
         assert result["query"] == "up"
@@ -163,13 +168,14 @@ async def test_resolve_tool_call_query(prometheus_config):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_search_metrics(prometheus_config):
-    """Test resolving search_metrics tool call."""
+    """Test that tools() wires the search_metrics tool to the provider method."""
     async with PrometheusToolProvider(config=prometheus_config) as provider:
         tool_name = provider._make_tool_name("search_metrics")
 
-        result = await provider.resolve_tool_call(
-            tool_name=tool_name, args={"pattern": "prometheus"}
-        )
+        tools = provider.tools()
+        tool = next(t for t in tools if t.metadata.name == tool_name)
+
+        result = await tool.invoke({"pattern": "prometheus"})
 
         assert result["status"] == "success"
         assert "metrics" in result
@@ -318,12 +324,3 @@ async def test_search_metrics_with_label_filters_no_match(prometheus_config):
         assert result["status"] == "success"
         assert result["metrics"] == []
         assert result["count"] == 0
-
-
-@pytest.mark.asyncio
-async def test_resolve_tool_call_unknown_operation(prometheus_config):
-    """Unknown operation should raise ValueError from resolve_tool_call."""
-    async with PrometheusToolProvider(config=prometheus_config) as provider:
-        bad_tool = provider._make_tool_name("unknown_op")
-        with pytest.raises(ValueError):
-            await provider.resolve_tool_call(tool_name=bad_tool, args={})
diff --git a/tests/unit/agent/test_langgraph_agent_compose.py b/tests/unit/agent/test_langgraph_agent_compose.py
index 46b1b15a..7a79d667 100644
--- a/tests/unit/agent/test_langgraph_agent_compose.py
+++ b/tests/unit/agent/test_langgraph_agent_compose.py
@@ -15,6 +15,7 @@ async def test_compose_final_markdown_builds_messages_and_payload(caplog):
         agent.settings = SimpleNamespace(
             openai_model_mini="test-mini", openai_api_key="test-key", llm_timeout=5
         )
+        agent._run_cache_active = False
 
         captured = {}
 
@@ -99,6 +100,7 @@ async def test_compose_final_markdown_normalizes_list_content():
         agent.settings = SimpleNamespace(
             openai_model_mini="test-mini", openai_api_key="test-key", llm_timeout=5
         )
+        agent._run_cache_active = False
 
         class FakeLLM:
             async def ainvoke(self, msgs):
@@ -127,6 +129,7 @@ async def test_compose_final_markdown_handles_empty_content(caplog):
         agent.settings = SimpleNamespace(
             openai_model_mini="test-mini", openai_api_key="test-key", llm_timeout=5
         )
+        agent._run_cache_active = False
 
         class FakeLLM:
             async def ainvoke(self, msgs):
diff --git a/tests/unit/api/test_threads_api.py b/tests/unit/api/test_threads_api.py
index c9ccdbc7..5b961f77 100644
--- a/tests/unit/api/test_threads_api.py
+++ b/tests/unit/api/test_threads_api.py
@@ -80,6 +80,9 @@ def test_get_thread_success(self, client):
         class State:
             context = {"messages": [{"role": "user", "content": "hi"}]}
             action_items = []
+            updates = []
+            result = None
+            error_message = None
             metadata = MagicMock()
             metadata.model_dump = lambda: {"user_id": "u"}
 
diff --git a/tests/unit/tools/admin/redis_enterprise/test_redis_enterprise_admin_provider.py b/tests/unit/tools/admin/redis_enterprise/test_redis_enterprise_admin_provider.py
index 7c48604c..d1206195 100644
--- a/tests/unit/tools/admin/redis_enterprise/test_redis_enterprise_admin_provider.py
+++ b/tests/unit/tools/admin/redis_enterprise/test_redis_enterprise_admin_provider.py
@@ -354,25 +354,19 @@ async def test_list_actions_success(provider):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call(provider):
-    """Test tool call resolution."""
-    # Mock the get_cluster_info method
-    with patch.object(provider, "get_cluster_info") as mock_method:
-        mock_method.return_value = {"status": "success", "data": {}}
-
-        tool_name = f"re_admin_{provider._instance_hash}_get_cluster_info"
-        result = await provider.resolve_tool_call(tool_name, {})
+    """Test that tools() wires get_cluster_info to the provider method."""
 
-        assert result["status"] == "success"
-        mock_method.assert_called_once()
+    # Patch before calling tools() so the invoke closure captures the mock
+    with patch.object(provider, "get_cluster_info", new_callable=AsyncMock) as mock_method:
+        mock_method.return_value = {"status": "success", "data": {}}
 
+        tools = provider.tools()
+        tool = next(t for t in tools if t.metadata.name.endswith("get_cluster_info"))
 
-@pytest.mark.asyncio
-async def test_resolve_tool_call_unknown_operation(provider):
-    """Test tool call resolution with unknown operation."""
-    tool_name = f"re_admin_{provider._instance_hash}_unknown_operation"
+        result = await tool.invoke({})
 
-    with pytest.raises(ValueError, match="Unknown operation"):
-        await provider.resolve_tool_call(tool_name, {})
+        assert result["status"] == "success"
+        mock_method.assert_called_once_with()
 
 
 @pytest.mark.asyncio
diff --git a/tests/unit/tools/cloud/redis_cloud/test_redis_cloud_client.py b/tests/unit/tools/cloud/redis_cloud/test_redis_cloud_client.py
index a2d0bd82..9b3b81cf 100644
--- a/tests/unit/tools/cloud/redis_cloud/test_redis_cloud_client.py
+++ b/tests/unit/tools/cloud/redis_cloud/test_redis_cloud_client.py
@@ -44,8 +44,9 @@ async def test_list_databases_parses_subscription_wrapper():
         "redis_sre_agent.tools.cloud.redis_cloud.provider.pro_get_subscription_databases.asyncio",
         new=AsyncMock(return_value=SimpleNamespace(to_dict=lambda: payload)),
     ):
-        tool_name = provider._make_tool_name("list_databases")
-        result = await provider.resolve_tool_call(tool_name, {})
+        # Call the concrete method directly; tools() now wires tools to these
+        # concrete async methods instead of using resolve_tool_call.
+        result = await provider.list_databases()
         assert isinstance(result, list)
         assert len(result) == 2
         assert result[0]["databaseId"] == 1
diff --git a/tests/unit/tools/cloud/redis_cloud/test_redis_cloud_provider.py b/tests/unit/tools/cloud/redis_cloud/test_redis_cloud_provider.py
index 8896a42a..0f2d8ed1 100644
--- a/tests/unit/tools/cloud/redis_cloud/test_redis_cloud_provider.py
+++ b/tests/unit/tools/cloud/redis_cloud/test_redis_cloud_provider.py
@@ -8,6 +8,7 @@
     RedisCloudConfig,
     RedisCloudToolProvider,
 )
+from redis_sre_agent.tools.protocols import ToolCapability
 
 
 @pytest.fixture
@@ -47,6 +48,7 @@ async def test_create_tool_schemas(provider):
         assert schema.name.startswith("redis_cloud_")
         assert schema.description
         assert schema.parameters
+        assert schema.capability == ToolCapability.DIAGNOSTICS
 
     # Check for expected tools
     tool_names = [s.name for s in schemas]
@@ -91,7 +93,7 @@ async def test_context_manager(mock_config):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_get_account(provider):
-    """Test resolving get_account tool call."""
+    """Test get_account using the concrete provider method."""
 
     # Patch the generated API function used by the provider
     class Dummy:
@@ -102,8 +104,7 @@ def to_dict(self):
         "redis_sre_agent.tools.cloud.redis_cloud.provider.get_current_account.asyncio",
         new=AsyncMock(return_value=Dummy()),
     ):
-        tool_name = provider._make_tool_name("get_account")
-        result = await provider.resolve_tool_call(tool_name, {})
+        result = await provider.get_account()
 
     assert result["id"] == 12345
     assert result["name"] == "Test Account"
@@ -111,7 +112,7 @@ def to_dict(self):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_list_subscriptions(provider):
-    """Test resolving list_subscriptions tool call."""
+    """Test list_subscriptions using the concrete provider method."""
 
     class Dummy:
         def to_dict(self):
@@ -121,8 +122,7 @@ def to_dict(self):
         "redis_sre_agent.tools.cloud.redis_cloud.provider.pro_list_subscriptions.asyncio",
         new=AsyncMock(return_value=Dummy()),
     ):
-        tool_name = provider._make_tool_name("list_subscriptions")
-        result = await provider.resolve_tool_call(tool_name, {})
+        result = await provider.list_subscriptions()
 
     assert len(result.get("subscriptions", [])) == 2
     assert result["subscriptions"][0]["name"] == "Sub 1"
@@ -130,7 +130,7 @@ def to_dict(self):
 
 @pytest.mark.asyncio
 async def test_resolve_tool_call_get_database(mock_config):
-    """Test resolving get_database tool call using configured instance IDs."""
+    """Test get_database using configured instance IDs via the concrete method."""
     # Create provider with a redis_cloud instance that supplies IDs
     fake_instance = type(
         "Instance",
@@ -153,23 +153,12 @@ def to_dict(self):
         "redis_sre_agent.tools.cloud.redis_cloud.provider.ess_get_subscription_database_by_id.asyncio",
         new=AsyncMock(return_value=Dummy()),
     ):
-        tool_name = provider._make_tool_name("get_database")
-        result = await provider.resolve_tool_call(tool_name, {})
+        result = await provider.get_database()
 
     assert result["id"] == 67890
     assert result["name"] == "Test DB"
 
 
-@pytest.mark.asyncio
-async def test_resolve_tool_call_unknown_operation(provider):
-    """Test resolving unknown tool call raises error."""
-    # Use the actual tool name format from the provider
-    tool_name = provider._make_tool_name("unknown_operation")
-
-    with pytest.raises(ValueError, match="Unknown operation"):
-        await provider.resolve_tool_call(tool_name, {})
-
-
 @pytest.mark.asyncio
 async def test_client_authentication_headers(mock_config):
     """Test that generated client sets correct authentication headers via provider."""
diff --git a/tests/unit/tools/knowledge/test_knowledge_base.py b/tests/unit/tools/knowledge/test_knowledge_base.py
index b508c869..05e59ada 100644
--- a/tests/unit/tools/knowledge/test_knowledge_base.py
+++ b/tests/unit/tools/knowledge/test_knowledge_base.py
@@ -3,7 +3,8 @@
 import pytest
 
 from redis_sre_agent.tools.knowledge.knowledge_base import KnowledgeBaseToolProvider
-from redis_sre_agent.tools.tool_definition import ToolDefinition
+from redis_sre_agent.tools.models import ToolDefinition
+from redis_sre_agent.tools.protocols import ToolCapability
 
 
 def test_knowledge_provider_initialization():
@@ -25,6 +26,7 @@ def test_knowledge_provider_tool_schemas():
     # All should be ToolDefinition objects
     for schema in schemas:
         assert isinstance(schema, ToolDefinition)
+        assert schema.capability == ToolCapability.KNOWLEDGE
 
     # Check tool names
     tool_names = [s.name for s in schemas]
@@ -89,15 +91,6 @@ def test_knowledge_provider_tool_name_uniqueness():
         int(hash_part, 16)  # Should be valid hex
 
 
-@pytest.mark.asyncio
-async def test_knowledge_provider_resolve_unknown_tool():
-    """Test that resolve_tool_call raises error for unknown tools."""
-    provider = KnowledgeBaseToolProvider()
-
-    with pytest.raises(ValueError, match="Unknown operation"):
-        await provider.resolve_tool_call("unknown_tool", {})
-
-
 @pytest.mark.asyncio
 async def test_knowledge_provider_context_manager():
     """Test that KnowledgeBaseToolProvider works as async context manager."""
diff --git a/tests/unit/tools/test_manager.py b/tests/unit/tools/test_manager.py
index 0c2b6b21..5be67b2a 100644
--- a/tests/unit/tools/test_manager.py
+++ b/tests/unit/tools/test_manager.py
@@ -3,7 +3,7 @@
 import pytest
 
 from redis_sre_agent.tools.manager import ToolManager
-from redis_sre_agent.tools.tool_definition import ToolDefinition
+from redis_sre_agent.tools.models import ToolDefinition
 
 
 @pytest.mark.asyncio
@@ -36,7 +36,7 @@ async def test_tool_manager_knowledge_tools():
         # Without an instance, only knowledge tools should be loaded
         knowledge_tools = [n for n in tool_names if "knowledge_" in n]
         prometheus_tools = [n for n in tool_names if "prometheus_" in n]
-        redis_cli_tools = [n for n in tool_names if "redis_cli_" in n]
+        redis_command_tools = [n for n in tool_names if "redis_command_" in n]
 
         # Knowledge tools (always loaded)
         assert len(knowledge_tools) == 4  # search, ingest, get_all_fragments, get_related_fragments
@@ -47,7 +47,7 @@ async def test_tool_manager_knowledge_tools():
 
         # Instance-specific tools should NOT be loaded without an instance
         assert len(prometheus_tools) == 0
-        assert len(redis_cli_tools) == 0
+        assert len(redis_command_tools) == 0
 
 
 @pytest.mark.asyncio
@@ -70,17 +70,17 @@ async def test_tool_manager_with_instance():
         tools = mgr.get_tools()
         tool_names = [t.name for t in tools]
 
-        # Should have knowledge, prometheus, and redis_cli tools
+        # Should have knowledge, prometheus, and redis_command tools
         knowledge_tools = [n for n in tool_names if "knowledge_" in n]
         prometheus_tools = [n for n in tool_names if "prometheus_" in n]
-        redis_cli_tools = [n for n in tool_names if "redis_command_" in n]
+        redis_command_tools = [n for n in tool_names if "redis_command_" in n]
 
         # Knowledge tools (always loaded)
         assert len(knowledge_tools) == 4  # search, ingest, get_all_fragments, get_related_fragments
 
         # Instance-specific tools should be loaded
         assert len(prometheus_tools) == 3  # query, query_range, search_metrics
-        assert len(redis_cli_tools) == 11  # All diagnostic tools
+        assert len(redis_command_tools) == 11  # All diagnostic tools
 
 
 @pytest.mark.asyncio
diff --git a/tests/unit/tools/test_tool_manager_protocols.py b/tests/unit/tools/test_tool_manager_protocols.py
index f5dcfda9..e7a12f8d 100644
--- a/tests/unit/tools/test_tool_manager_protocols.py
+++ b/tests/unit/tools/test_tool_manager_protocols.py
@@ -2,41 +2,44 @@
 
 from redis_sre_agent.tools.manager import ToolManager
 from redis_sre_agent.tools.protocols import (
-    KnowledgeProviderProtocol,
-    UtilitiesProviderProtocol,
+    ToolCapability,
 )
 
 
 @pytest.mark.asyncio
 async def test_protocol_selection_for_knowledge_search_only():
     async with ToolManager(redis_instance=None) as mgr:
-        tools = mgr.get_tools_for_protocol(KnowledgeProviderProtocol, allowed_ops={"search"})
-        assert tools, "Expected at least one knowledge search tool"
-        # All should be knowledge_*_search
+        # Use capability-based selection; manager no longer filters by op name
+        tools = mgr.get_tools_for_capability(ToolCapability.KNOWLEDGE)
+        assert tools, "Expected at least one knowledge tool"
+
+        # All should be knowledge provider tools, and there should be a search op
+        has_search = False
         for t in tools:
             assert t.name.startswith("knowledge_"), f"Unexpected provider prefix: {t.name}"
-            # Extract operation using the same logic as manager
-            op = (
-                t.name.split("_", 2)[2] if len(t.name.split("_", 2)) >= 3 else t.name.split("_")[-1]
-            )
-            assert op == "search", f"Unexpected knowledge op: {op} from {t.name}"
+            parts = t.name.split("_", 2)
+            op = parts[2] if len(parts) >= 3 else parts[-1]
+            if op == "search":
+                has_search = True
+
+        assert has_search, "Expected at least one knowledge search tool among knowledge tools"
 
 
 @pytest.mark.asyncio
 async def test_protocol_selection_for_utilities_subset():
     allowed = {"calculator", "date_math", "timezone_converter", "http_head"}
     async with ToolManager(redis_instance=None) as mgr:
-        tools = mgr.get_tools_for_protocol(UtilitiesProviderProtocol, allowed_ops=allowed)
+        # Use capability-based selection; manager no longer filters by op name
+        tools = mgr.get_tools_for_capability(ToolCapability.UTILITIES)
         assert tools, "Expected utilities tools for the allowed set"
-        # Ensure only utilities tools are present and ops are within allowed
+
+        # Ensure all returned tools are utilities_* and that the allowed subset is present
+        ops_seen = set()
         for t in tools:
             assert t.name.startswith("utilities_"), f"Unexpected provider prefix: {t.name}"
-            op = (
-                t.name.split("_", 2)[2] if len(t.name.split("_", 2)) >= 3 else t.name.split("_")[-1]
-            )
-            assert op in allowed, f"Unexpected utilities op: {op} from {t.name}"
-        # Check that at least 3 of the 4 are available in always-on provider
-        ops_seen = {t.name.split("_", 2)[2] for t in tools if len(t.name.split("_", 2)) >= 3}
-        assert {"calculator", "date_math", "timezone_converter"}.issubset(ops_seen), (
-            f"Missing expected utilities operations in always-on tools: {ops_seen}"
-        )
+            parts = t.name.split("_", 2)
+            op = parts[2] if len(parts) >= 3 else parts[-1]
+            ops_seen.add(op)
+
+        # At least the core utility operations should be present; additional ones are allowed
+        assert allowed.issubset(ops_seen), f"Missing expected utilities operations: {ops_seen}"
diff --git a/uv.lock b/uv.lock
index 3ddd3a67..39ea1f0f 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,4 +1,5 @@
 version = 1
+revision = 3
 requires-python = ">=3.12"
 resolution-markers = [
     "python_full_version >= '3.13'",
@@ -9,18 +10,18 @@ resolution-markers = [
 name = "aiofiles"
 version = "24.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247 }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/03/a88171e277e8caa88a4c77808c20ebb04ba74cc4681bf1e9416c862de237/aiofiles-24.1.0.tar.gz", hash = "sha256:22a075c9e5a3810f0c2e48f3008c94d68c65d763b9b03857924c99e57355166c", size = 30247, upload-time = "2024-06-24T11:02:03.584Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a5/45/30bb92d442636f570cb5651bc661f52b610e2eec3f891a5dc3a4c3667db0/aiofiles-24.1.0-py3-none-any.whl", hash = "sha256:b4ec55f4195e3eb5d7abd1bf7e061763e864dd4954231fb8539a0ef8bb8260e5", size = 15896, upload-time = "2024-06-24T11:02:01.529Z" },
 ]
 
 [[package]]
 name = "aiohappyeyeballs"
 version = "2.6.1"
 source = { registry = "https://pypi.org/simple" }
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 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/0f/15/5bf3b99495fb160b63f95972b81750f18f7f4e02ad051373b669d17d44f2/aiohappyeyeballs-2.6.1-py3-none-any.whl", hash = "sha256:f349ba8f4b75cb25c99c5c2d84e997e485204d2902a9597802b0371f09331fb8", size = 15265, upload-time = "2025-03-12T01:42:47.083Z" },
 ]
 
 [[package]]
@@ -36,42 +37,42 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
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@@ -82,18 +83,18 @@ dependencies = [
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From 8031d1050a01a725eefe72ae27b1adf0b544c2d3 Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 14:16:30 -0800
Subject: [PATCH 2/9] fix: Address PR review feedback

- Add warning logging when resolve_operation falls back to full tool name
- Document that resolve_operation is for tracing/status, not routing
- Add proper types to Tool class (Callable, ToolDefinition) with ConfigDict
- Remove unnecessary pass statement in prometheus provider
- Clarify _invoke closure default arg captures method to avoid late binding
- Add explanatory comments for AttributeError handlers probing response formats
- Simplify getattr comment in tools() method
---
 redis_sre_agent/agent/langgraph_agent.py      | 12 +++++++----
 redis_sre_agent/observability/llm_metrics.py  |  9 ++++----
 .../tools/metrics/prometheus/provider.py      |  2 --
 redis_sre_agent/tools/models.py               | 19 ++++++++++-------
 redis_sre_agent/tools/protocols.py            | 21 ++++++++++++++-----
 5 files changed, 40 insertions(+), 23 deletions(-)

diff --git a/redis_sre_agent/agent/langgraph_agent.py b/redis_sre_agent/agent/langgraph_agent.py
index 5e6694db..e9c81e19 100644
--- a/redis_sre_agent/agent/langgraph_agent.py
+++ b/redis_sre_agent/agent/langgraph_agent.py
@@ -1855,19 +1855,22 @@ async def _retry_with_backoff(
             try:
                 return await func()
             except Exception as e:
-                # Enrich logging with OpenAI/HTTP error details when available
+                # Enrich logging with OpenAI/HTTP error details when available.
+                # Different exception types expose status/body via different attributes,
+                # so we probe multiple patterns and ignore AttributeError when not found.
                 try:
                     status = None
                     body = None
                     try:
                         status = e.status_code  # type: ignore[attr-defined]
                     except AttributeError:
+                        # Try .response.status_code pattern (e.g., httpx exceptions)
                         try:
                             resp = e.response  # type: ignore[attr-defined]
                             if resp:
                                 status = resp.status_code
                         except AttributeError:
-                            pass
+                            pass  # No status code available
                     try:
                         raw_body = e.body  # type: ignore[attr-defined]
                         if isinstance(raw_body, (str, bytes)):
@@ -1877,6 +1880,7 @@ async def _retry_with_backoff(
                                 else raw_body
                             )
                     except AttributeError:
+                        # Try .response.text or .response.content pattern
                         try:
                             resp = e.response  # type: ignore[attr-defined]
                             if resp is not None:
@@ -1886,11 +1890,11 @@ async def _retry_with_backoff(
                                     try:
                                         body = resp.content
                                     except AttributeError:
-                                        pass
+                                        pass  # No body available
                                 if isinstance(body, (bytes, bytearray)):
                                     body = body.decode("utf-8", errors="ignore")
                         except AttributeError:
-                            pass
+                            pass  # No response object available
                     if status or body:
                         snippet = (body or "")[:2000]
                         logger.error(
diff --git a/redis_sre_agent/observability/llm_metrics.py b/redis_sre_agent/observability/llm_metrics.py
index 2166e27a..5b50e541 100644
--- a/redis_sre_agent/observability/llm_metrics.py
+++ b/redis_sre_agent/observability/llm_metrics.py
@@ -42,18 +42,19 @@
 
 
 def _get_model_name(llm: Any) -> str:
+    """Extract model name from LLM object, trying common attribute patterns."""
     try:
         model = llm.model  # type: ignore[attr-defined]
         if model:
             return model
     except AttributeError:
-        pass
+        pass  # LLM may not have .model attribute
     try:
         model = llm._model  # type: ignore[attr-defined]
         if model:
             return model
     except AttributeError:
-        pass
+        pass  # LLM may not have ._model attribute
     return "unknown"
 
 
@@ -72,7 +73,7 @@ def _extract_usage_from_response(resp: Any) -> Dict[str, Optional[int]]:
             completion = usage_md.get("output_tokens") or usage_md.get("completion_tokens")
             total = usage_md.get("total_tokens")
     except AttributeError:
-        pass
+        pass  # Response may not have .usage_metadata attribute
 
     # Some wrappers place the raw OpenAI usage in response_metadata
     if prompt is None or completion is None:
@@ -88,7 +89,7 @@ def _extract_usage_from_response(resp: Any) -> Dict[str, Optional[int]]:
                     )
                     total = total or usage.get("total_tokens")
         except AttributeError:
-            pass
+            pass  # Response may not have .response_metadata attribute
 
     # Many providers only give total
     if total is None and prompt is not None and completion is not None:
diff --git a/redis_sre_agent/tools/metrics/prometheus/provider.py b/redis_sre_agent/tools/metrics/prometheus/provider.py
index 715621aa..2c056030 100644
--- a/redis_sre_agent/tools/metrics/prometheus/provider.py
+++ b/redis_sre_agent/tools/metrics/prometheus/provider.py
@@ -226,8 +226,6 @@ async def _wait_for_targets(self, timeout_seconds: float = 10.0) -> None:
         if last_err:
             logger.debug(f"_wait_for_targets encountered: {last_err}")
 
-        pass
-
     async def _http_get_json(
         self, path: str, params: Optional[Dict[str, Any]] = None
     ) -> Dict[str, Any]:
diff --git a/redis_sre_agent/tools/models.py b/redis_sre_agent/tools/models.py
index cef13848..afd3543f 100644
--- a/redis_sre_agent/tools/models.py
+++ b/redis_sre_agent/tools/models.py
@@ -1,7 +1,10 @@
 from enum import Enum
-from typing import Any, Dict, Optional
+from typing import TYPE_CHECKING, Any, Awaitable, Callable, Dict, Optional
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
+
+if TYPE_CHECKING:
+    from redis_sre_agent.tools.models import ToolDefinition
 
 
 class ToolCapability(Enum):
@@ -21,8 +24,7 @@ class ToolMetadata(BaseModel):
     """Metadata about a concrete tool implementation.
 
     This is attached to the :class:`Tool` wrapper alongside the
-    :class:`~redis_sre_agent.tools.tool_definition.ToolDefinition` schema
-    and the callable used to execute the tool.
+    :class:`ToolDefinition` schema and the callable used to execute the tool.
     """
 
     name: str
@@ -37,15 +39,16 @@ class Tool(BaseModel):
 
     Attributes:
         metadata: :class:`ToolMetadata` describing the tool for routing.
-        schema: The :class:`ToolDefinition` shown to the LLM (stored as ``Any``
-            here to avoid import cycles).
+        schema: The :class:`ToolDefinition` shown to the LLM.
         invoke: Async callable taking a single ``Dict[str, Any]`` of arguments
             and returning the tool result.
     """
 
+    model_config = ConfigDict(arbitrary_types_allowed=True)
+
     metadata: ToolMetadata
-    schema: Any
-    invoke: Any
+    schema: "ToolDefinition"
+    invoke: Callable[[Dict[str, Any]], Awaitable[Any]]
 
 
 class SystemHost(BaseModel):
diff --git a/redis_sre_agent/tools/protocols.py b/redis_sre_agent/tools/protocols.py
index b478ef42..2ae9d38a 100644
--- a/redis_sre_agent/tools/protocols.py
+++ b/redis_sre_agent/tools/protocols.py
@@ -224,7 +224,14 @@ def resolve_operation(self, tool_name: str, args: Dict[str, Any]) -> Optional[st
 
         Providers can override this for more complex mappings (for example,
         when multiple tool names share a single implementation).
+
+        Note: This method is used for OTel tracing and status updates, not for
+        routing. The ToolManager validates tool existence via the routing table
+        before this is called.
         """
+        import logging
+
+        _logger = logging.getLogger(__name__)
 
         try:
             # Preferred fast-path: exact prefix match based on provider name
@@ -241,8 +248,14 @@ def resolve_operation(self, tool_name: str, args: Dict[str, Any]) -> Optional[st
                 return "_".join(parts[2:])
 
             # Last resort: treat the whole name as the operation.
+            # Log a warning since this may indicate a misconfigured tool name.
+            _logger.warning(
+                f"resolve_operation falling back to full tool name '{tool_name}' as operation. "
+                f"Expected format: {self.provider_name}_<hash>_<operation>"
+            )
             return tool_name
-        except Exception:
+        except Exception as e:
+            _logger.warning(f"resolve_operation failed for '{tool_name}': {e}")
             return None
 
     @property
@@ -363,10 +376,8 @@ def tools(self) -> List["Tool"]:
                 requires_instance=requires_instance,
             )
 
-            # Prefer a direct provider method derived from the tool name.
+            # Derive operation name and look up the corresponding method.
             op_name = self.resolve_operation(schema.name, {}) or ""
-            # Check if method exists on the class
-            # Use getattr for legitimate metaprogramming - dynamically binding methods
             method = getattr(self, op_name, None) if op_name else None
 
             if not callable(method):
@@ -376,8 +387,8 @@ def tools(self) -> List["Tool"]:
                     "or override tools() to provide a custom implementation."
                 )
 
+            # Capture method via default arg to avoid late binding in the closure.
             async def _invoke(args: Dict[str, Any], _method=method) -> Any:
-                """Invoke the bound provider method with keyword args."""
                 return await _method(**(args or {}))
 
             tools.append(Tool(metadata=meta, schema=schema, invoke=_invoke))

From c256e8bc73aad815c5296bd64ae87c3656f6f886 Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 15:19:57 -0800
Subject: [PATCH 3/9] refactor: Rename default_requires_instance to
 requires_redis_instance

Simplify the property to return bool instead of Optional[bool].
Base class returns whether redis_instance was provided; subclasses
override to return True or False explicitly.
---
 .../tools/admin/redis_enterprise/provider.py  |  5 ++--
 .../tools/cloud/redis_cloud/provider.py       |  5 ++--
 .../diagnostics/redis_command/provider.py     |  5 ++--
 .../tools/knowledge/knowledge_base.py         |  5 ++--
 redis_sre_agent/tools/protocols.py            | 26 ++++++-------------
 redis_sre_agent/tools/utilities/provider.py   |  5 ++--
 6 files changed, 18 insertions(+), 33 deletions(-)

diff --git a/redis_sre_agent/tools/admin/redis_enterprise/provider.py b/redis_sre_agent/tools/admin/redis_enterprise/provider.py
index 786c4249..a6262025 100644
--- a/redis_sre_agent/tools/admin/redis_enterprise/provider.py
+++ b/redis_sre_agent/tools/admin/redis_enterprise/provider.py
@@ -101,9 +101,8 @@ def provider_name(self) -> str:
         return "re_admin"  # Shortened to avoid OpenAI 64-char tool name limit
 
     @property
-    def default_requires_instance(self) -> Optional[bool]:
-        """Admin tools always require a Redis Enterprise instance with admin access."""
-
+    def requires_redis_instance(self) -> bool:
+        """Admin tools always require a Redis Enterprise instance."""
         return True
 
     def get_client(self) -> httpx.AsyncClient:
diff --git a/redis_sre_agent/tools/cloud/redis_cloud/provider.py b/redis_sre_agent/tools/cloud/redis_cloud/provider.py
index 56a6895f..db9b7037 100644
--- a/redis_sre_agent/tools/cloud/redis_cloud/provider.py
+++ b/redis_sre_agent/tools/cloud/redis_cloud/provider.py
@@ -144,9 +144,8 @@ def provider_name(self) -> str:
         return "redis_cloud"
 
     @property
-    def default_requires_instance(self) -> Optional[bool]:
-        """Redis Cloud management tools do not require a specific Redis instance."""
-
+    def requires_redis_instance(self) -> bool:
+        """Redis Cloud management tools do not require a Redis instance."""
         return False
 
     def get_client(self) -> GeneratedClient:
diff --git a/redis_sre_agent/tools/diagnostics/redis_command/provider.py b/redis_sre_agent/tools/diagnostics/redis_command/provider.py
index 773d9add..b74ae70f 100644
--- a/redis_sre_agent/tools/diagnostics/redis_command/provider.py
+++ b/redis_sre_agent/tools/diagnostics/redis_command/provider.py
@@ -126,9 +126,8 @@ def provider_name(self) -> str:
         return "redis_command"
 
     @property
-    def default_requires_instance(self) -> Optional[bool]:
-        """Diagnostics tools for redis_command always require a Redis instance."""
-
+    def requires_redis_instance(self) -> bool:
+        """Diagnostics tools always require a Redis instance."""
         return True
 
     def get_client(self) -> Redis:
diff --git a/redis_sre_agent/tools/knowledge/knowledge_base.py b/redis_sre_agent/tools/knowledge/knowledge_base.py
index d4df209c..d6022458 100644
--- a/redis_sre_agent/tools/knowledge/knowledge_base.py
+++ b/redis_sre_agent/tools/knowledge/knowledge_base.py
@@ -38,9 +38,8 @@ def provider_name(self) -> str:
         return "knowledge"
 
     @property
-    def default_requires_instance(self) -> Optional[bool]:
-        """Knowledge base tools do not depend on a specific Redis instance."""
-
+    def requires_redis_instance(self) -> bool:
+        """Knowledge base tools do not require a Redis instance."""
         return False
 
     def create_tool_schemas(self) -> List[ToolDefinition]:
diff --git a/redis_sre_agent/tools/protocols.py b/redis_sre_agent/tools/protocols.py
index 2ae9d38a..cf933f3d 100644
--- a/redis_sre_agent/tools/protocols.py
+++ b/redis_sre_agent/tools/protocols.py
@@ -320,23 +320,21 @@ def create_tool_schemas(self) -> List["ToolDefinition"]:
         )
 
     @property
-    def default_requires_instance(self) -> Optional[bool]:
-        """Default ``requires_instance`` flag for this provider's tools.
+    def requires_redis_instance(self) -> bool:
+        """Whether this provider's tools require a Redis instance.
 
-        Returns:
-            * ``True`` if tools always require a Redis instance.
-            * ``False`` if tools never require a Redis instance.
-            * ``None`` (default) to derive from whether ``redis_instance`` was provided.
+        Returns ``True`` if the provider was initialized with a ``redis_instance``.
+        Subclasses can override to always return ``True`` or ``False`` regardless
+        of initialization.
         """
-
-        return None
+        return self.redis_instance is not None
 
     def tools(self) -> List["Tool"]:
         """Return the concrete tools exposed by this provider.
 
         The default implementation builds :class:`Tool` objects from
         :meth:`create_tool_schemas`, using the ``capability`` on each
-        :class:`ToolDefinition` and :attr:`default_requires_instance` to
+        :class:`ToolDefinition` and :attr:`requires_redis_instance` to
         populate :class:`ToolMetadata`.
 
         Each tool's :pyattr:`Tool.invoke` closure is wired directly to the
@@ -351,14 +349,6 @@ def tools(self) -> List["Tool"]:
         # ignore :meth:`create_tool_schemas` entirely.
         schemas: List[ToolDefinition] = self.create_tool_schemas()
 
-        # Determine default requires_instance. ``None`` means derive from the
-        # presence of ``redis_instance``.
-        requires_instance = (
-            bool(self.redis_instance)
-            if self.default_requires_instance is None
-            else bool(self.default_requires_instance)
-        )
-
         tools: List["Tool"] = []
         for schema in schemas:
             capability = schema.capability
@@ -373,7 +363,7 @@ def tools(self) -> List["Tool"]:
                 description=schema.description,
                 capability=capability,
                 provider_name=self.provider_name,
-                requires_instance=requires_instance,
+                requires_instance=self.requires_redis_instance,
             )
 
             # Derive operation name and look up the corresponding method.
diff --git a/redis_sre_agent/tools/utilities/provider.py b/redis_sre_agent/tools/utilities/provider.py
index 85bdb3fc..08cca20e 100644
--- a/redis_sre_agent/tools/utilities/provider.py
+++ b/redis_sre_agent/tools/utilities/provider.py
@@ -48,9 +48,8 @@ def provider_name(self) -> str:
         return "utilities"
 
     @property
-    def default_requires_instance(self) -> Optional[bool]:
-        """Utility tools do not depend on a specific Redis instance."""
-
+    def requires_redis_instance(self) -> bool:
+        """Utility tools do not require a Redis instance."""
         return False
 
     def create_tool_schemas(self) -> List[ToolDefinition]:

From 7b6eff6792f8e537858a22724fb484233154b800 Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 15:48:55 -0800
Subject: [PATCH 4/9] Incorporate review feedback

---
 redis_sre_agent/api/app.py         | 2 +-
 redis_sre_agent/cli/main.py        | 2 +-
 redis_sre_agent/tools/manager.py   | 5 ++++-
 redis_sre_agent/tools/models.py    | 3 ---
 redis_sre_agent/tools/protocols.py | 8 ++++++--
 5 files changed, 12 insertions(+), 8 deletions(-)

diff --git a/redis_sre_agent/api/app.py b/redis_sre_agent/api/app.py
index 91e90933..39b69c34 100644
--- a/redis_sre_agent/api/app.py
+++ b/redis_sre_agent/api/app.py
@@ -36,7 +36,7 @@
 LOG_DATE_FORMAT = "%H:%M:%S"
 
 logging.basicConfig(
-    level=logging.__dict__[settings.log_level.upper()],
+    level=getattr(logging, settings.log_level.upper(), logging.INFO),
     format=LOG_FORMAT,
     datefmt=LOG_DATE_FORMAT,
 )
diff --git a/redis_sre_agent/cli/main.py b/redis_sre_agent/cli/main.py
index 28df3ffc..303da357 100644
--- a/redis_sre_agent/cli/main.py
+++ b/redis_sre_agent/cli/main.py
@@ -36,7 +36,7 @@ def get_command(self, ctx, name):
             return None
         module_path, attr = target.split(":", 1)
         mod = importlib.import_module(module_path)
-        return mod.__dict__[attr]
+        return getattr(mod, attr)
 
 
 @click.command(cls=LazyGroup)
diff --git a/redis_sre_agent/tools/manager.py b/redis_sre_agent/tools/manager.py
index ba06ae80..00403074 100644
--- a/redis_sre_agent/tools/manager.py
+++ b/redis_sre_agent/tools/manager.py
@@ -224,7 +224,10 @@ def _get_provider_class(cls, provider_path: str) -> type:
         if provider_path not in cls._provider_class_cache:
             module_path, class_name = provider_path.rsplit(".", 1)
             module = __import__(module_path, fromlist=[class_name])
-            cls._provider_class_cache[provider_path] = module.__dict__[class_name]
+            provider_class = getattr(module, class_name, None)
+            if not provider_class:
+                logger.warning(f"Failed to load tool provider class: {provider_path}")
+            cls._provider_class_cache[provider_path] = provider_class
         return cls._provider_class_cache[provider_path]
 
     async def __aexit__(self, *args) -> None:
diff --git a/redis_sre_agent/tools/models.py b/redis_sre_agent/tools/models.py
index afd3543f..9bb459c4 100644
--- a/redis_sre_agent/tools/models.py
+++ b/redis_sre_agent/tools/models.py
@@ -3,9 +3,6 @@
 
 from pydantic import BaseModel, ConfigDict, Field
 
-if TYPE_CHECKING:
-    from redis_sre_agent.tools.models import ToolDefinition
-
 
 class ToolCapability(Enum):
     """Capabilities that tools can provide."""
diff --git a/redis_sre_agent/tools/protocols.py b/redis_sre_agent/tools/protocols.py
index cf933f3d..9f6621d6 100644
--- a/redis_sre_agent/tools/protocols.py
+++ b/redis_sre_agent/tools/protocols.py
@@ -4,7 +4,7 @@
 data classes, and optional Protocols that describe the minimal contracts
 HostTelemetry and other orchestrators can program against.
 """
-
+import logging
 from abc import ABC, abstractmethod
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Protocol, runtime_checkable
 
@@ -18,6 +18,9 @@
     from .manager import ToolManager
 
 
+logger = logging.getLogger(__name__)
+
+
 # --------------------------- Optional provider Protocols ---------------------------
 # These describe the minimal contracts higher-level orchestrators can rely on
 # without referencing concrete implementations (e.g., Prometheus/Loki).
@@ -395,11 +398,12 @@ def get_status_update(self, tool_name: str, args: Dict[str, Any]) -> Optional[st
         try:
             op = self.resolve_operation(tool_name, args)
             if not op:
+                logger.warning(f"get_status_update failed to resolve operation for {tool_name}")
                 return None
             method = self.__dict__.get(op) or type(self).__dict__.get(op)
             if not method:
                 return None
-            template = method._status_update_template if method else None
+            template = getattr(method, "_status_update_template", None)
             if not template:
                 return None
             try:

From e97da35f4529e5124cc8556a96210641d5ab24fb Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 16:16:18 -0800
Subject: [PATCH 5/9] Lint

---
 redis_sre_agent/tools/models.py    | 2 +-
 redis_sre_agent/tools/protocols.py | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/redis_sre_agent/tools/models.py b/redis_sre_agent/tools/models.py
index 9bb459c4..22960517 100644
--- a/redis_sre_agent/tools/models.py
+++ b/redis_sre_agent/tools/models.py
@@ -1,5 +1,5 @@
 from enum import Enum
-from typing import TYPE_CHECKING, Any, Awaitable, Callable, Dict, Optional
+from typing import Any, Awaitable, Callable, Dict, Optional
 
 from pydantic import BaseModel, ConfigDict, Field
 
diff --git a/redis_sre_agent/tools/protocols.py b/redis_sre_agent/tools/protocols.py
index 9f6621d6..e8a0742d 100644
--- a/redis_sre_agent/tools/protocols.py
+++ b/redis_sre_agent/tools/protocols.py
@@ -4,6 +4,7 @@
 data classes, and optional Protocols that describe the minimal contracts
 HostTelemetry and other orchestrators can program against.
 """
+
 import logging
 from abc import ABC, abstractmethod
 from typing import TYPE_CHECKING, Any, Dict, List, Optional, Protocol, runtime_checkable

From 7707e878e23c4e70f5939f90d8c309620528243a Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 16:51:16 -0800
Subject: [PATCH 6/9] fix: Resolve runtime errors in agent execution

- Rename Tool.schema to Tool.definition to avoid shadowing BaseModel attribute
- Use getattr for llm.model and llm.temperature to handle ChatOpenAI which uses model_name
---
 redis_sre_agent/agent/langgraph_agent.py | 5 +++--
 redis_sre_agent/tools/manager.py         | 6 +++---
 redis_sre_agent/tools/models.py          | 6 +++---
 redis_sre_agent/tools/protocols.py       | 2 +-
 4 files changed, 10 insertions(+), 9 deletions(-)

diff --git a/redis_sre_agent/agent/langgraph_agent.py b/redis_sre_agent/agent/langgraph_agent.py
index e9c81e19..5a6d4ca3 100644
--- a/redis_sre_agent/agent/langgraph_agent.py
+++ b/redis_sre_agent/agent/langgraph_agent.py
@@ -369,8 +369,9 @@ def _messages_cache_key(self, messages: List[BaseMessage]) -> str:
     async def _ainvoke_memo(self, tag: str, llm: Any, messages: List[BaseMessage]):
         if not self._run_cache_active:
             return await llm.ainvoke(messages)
-        model = llm.model
-        temperature = llm.temperature
+        # LLM objects use different attribute names: model, model_name, or _model
+        model = getattr(llm, "model", None) or getattr(llm, "model_name", None) or "unknown"
+        temperature = getattr(llm, "temperature", 0.0)
         key = f"{tag}|{model}|{temperature}|{self._messages_cache_key(messages)}"
         if key in self._llm_cache:
             return self._llm_cache[key]
diff --git a/redis_sre_agent/tools/manager.py b/redis_sre_agent/tools/manager.py
index 00403074..663b5642 100644
--- a/redis_sre_agent/tools/manager.py
+++ b/redis_sre_agent/tools/manager.py
@@ -268,7 +268,7 @@ def get_tools(self) -> List[ToolDefinition]:
         Returns:
             List of ToolDefinition objects for LLM binding
         """
-        return [t.schema for t in self._tools]
+        return [t.definition for t in self._tools]
 
     def get_tools_by_provider_names(self, provider_names: List[str]) -> List[ToolDefinition]:
         """Return tools belonging to providers with given provider_name values.
@@ -289,7 +289,7 @@ def get_tools_by_provider_names(self, provider_names: List[str]) -> List[ToolDef
                 provider = self._routing_table.get(tool.metadata.name)
                 pname = provider.provider_name if provider else None
                 if isinstance(pname, str) and pname.lower() in wanted:
-                    results.append(tool.schema)
+                    results.append(tool.definition)
             return results
         except Exception:
             # Be conservative; if anything goes wrong, return no tools
@@ -362,7 +362,7 @@ def _filter_tools_by_providers(self, providers: List["ToolProvider"]) -> List[To
                 p = self._routing_table.get(tool.metadata.name)
                 if not p or id(p) not in provider_ids:
                     continue
-                results.append(tool.schema)
+                results.append(tool.definition)
             return results
         except Exception:
             return []
diff --git a/redis_sre_agent/tools/models.py b/redis_sre_agent/tools/models.py
index 22960517..ab10a31b 100644
--- a/redis_sre_agent/tools/models.py
+++ b/redis_sre_agent/tools/models.py
@@ -32,11 +32,11 @@ class ToolMetadata(BaseModel):
 
 
 class Tool(BaseModel):
-    """Concrete tool object combining schema, metadata, and executor.
+    """Concrete tool object combining definition, metadata, and executor.
 
     Attributes:
         metadata: :class:`ToolMetadata` describing the tool for routing.
-        schema: The :class:`ToolDefinition` shown to the LLM.
+        definition: The :class:`ToolDefinition` shown to the LLM.
         invoke: Async callable taking a single ``Dict[str, Any]`` of arguments
             and returning the tool result.
     """
@@ -44,7 +44,7 @@ class Tool(BaseModel):
     model_config = ConfigDict(arbitrary_types_allowed=True)
 
     metadata: ToolMetadata
-    schema: "ToolDefinition"
+    definition: "ToolDefinition"
     invoke: Callable[[Dict[str, Any]], Awaitable[Any]]
 
 
diff --git a/redis_sre_agent/tools/protocols.py b/redis_sre_agent/tools/protocols.py
index e8a0742d..fbe2b2f0 100644
--- a/redis_sre_agent/tools/protocols.py
+++ b/redis_sre_agent/tools/protocols.py
@@ -385,7 +385,7 @@ def tools(self) -> List["Tool"]:
             async def _invoke(args: Dict[str, Any], _method=method) -> Any:
                 return await _method(**(args or {}))
 
-            tools.append(Tool(metadata=meta, schema=schema, invoke=_invoke))
+            tools.append(Tool(metadata=meta, definition=schema, invoke=_invoke))
         return tools
 
     def get_status_update(self, tool_name: str, args: Dict[str, Any]) -> Optional[str]:

From d7efba29ad35604fdfef4bafec73f3d6ea5b7395 Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 17:10:14 -0800
Subject: [PATCH 7/9] refactor: Remove redundant try/except around
 opentelemetry imports

Use module-level tracer instead of defensive inline imports
---
 redis_sre_agent/agent/knowledge_agent.py   | 14 +++-----------
 redis_sre_agent/agent/runbook_generator.py | 22 ++--------------------
 2 files changed, 5 insertions(+), 31 deletions(-)

diff --git a/redis_sre_agent/agent/knowledge_agent.py b/redis_sre_agent/agent/knowledge_agent.py
index 3a2c4676..831f1a1f 100644
--- a/redis_sre_agent/agent/knowledge_agent.py
+++ b/redis_sre_agent/agent/knowledge_agent.py
@@ -165,20 +165,12 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
             try:
                 import time as _time
 
-                try:
-                    from opentelemetry import trace as _otel_trace  # type: ignore
-                except Exception:
-                    _otel_trace = None  # type: ignore
                 from redis_sre_agent.observability.llm_metrics import record_llm_call_metrics
 
                 _t0 = _time.perf_counter()
-                _tr = _otel_trace.get_tracer(__name__) if _otel_trace else None
-                if _tr:
-                    with _tr.start_as_current_span(
-                        "llm.call", attributes={"llm.component": "knowledge"}
-                    ):
-                        response = await llm_with_tools.ainvoke(messages)
-                else:
+                with tracer.start_as_current_span(
+                    "llm.call", attributes={"llm.component": "knowledge"}
+                ):
                     response = await llm_with_tools.ainvoke(messages)
                 record_llm_call_metrics(
                     component="knowledge", llm=llm_with_tools, response=response, start_time=_t0
diff --git a/redis_sre_agent/agent/runbook_generator.py b/redis_sre_agent/agent/runbook_generator.py
index 6e6ee908..ad53231f 100644
--- a/redis_sre_agent/agent/runbook_generator.py
+++ b/redis_sre_agent/agent/runbook_generator.py
@@ -235,18 +235,10 @@ async def _generate_research_summary(
 
         import time as _time
 
-        try:
-            from opentelemetry import trace as _otel_trace  # type: ignore
-        except Exception:
-            _otel_trace = None  # type: ignore
         from redis_sre_agent.observability.llm_metrics import record_llm_call_metrics
 
         _t0 = _time.perf_counter()
-        _tr = _otel_trace.get_tracer(__name__) if _otel_trace else None
-        if _tr:
-            with _tr.start_as_current_span("llm.call", attributes={"llm.component": "runbook"}):
-                response = await self.llm.ainvoke([HumanMessage(content=prompt)])
-        else:
+        with tracer.start_as_current_span("llm.call", attributes={"llm.component": "runbook"}):
             response = await self.llm.ainvoke([HumanMessage(content=prompt)])
         record_llm_call_metrics(
             component="runbook", llm=self.llm, response=response, start_time=_t0
@@ -480,20 +472,10 @@ async def _evaluate_runbook(self, runbook: GeneratedRunbook) -> RunbookEvaluatio
 
         import time as _time
 
-        try:
-            from opentelemetry import trace as _otel_trace  # type: ignore
-        except Exception:
-            _otel_trace = None  # type: ignore
         from redis_sre_agent.observability.llm_metrics import record_llm_call_metrics
 
         _t0 = _time.perf_counter()
-        _tr = _otel_trace.get_tracer(__name__) if _otel_trace else None
-        if _tr:
-            with _tr.start_as_current_span("llm.call", attributes={"llm.component": "runbook"}):
-                response = await self.llm.ainvoke(
-                    [SystemMessage(content=system_prompt), HumanMessage(content=user_prompt)]
-                )
-        else:
+        with tracer.start_as_current_span("llm.call", attributes={"llm.component": "runbook"}):
             response = await self.llm.ainvoke(
                 [SystemMessage(content=system_prompt), HumanMessage(content=user_prompt)]
             )

From 3d1013d8a79137e9ac644eb27649d84a143f08cd Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 17:14:39 -0800
Subject: [PATCH 8/9] refactor: Remove redundant try/except around
 opentelemetry imports

Use module-level tracer instead of defensive inline imports in
knowledge_agent.py, runbook_generator.py, and knowledge_base.py.
Also update test for two ChatOpenAI instances in SRELangGraphAgent.
---
 redis_sre_agent/agent/knowledge_agent.py      | 15 +---
 redis_sre_agent/agent/langgraph_agent.py      | 19 ++---
 .../tools/knowledge/knowledge_base.py         | 72 +++++++------------
 tests/unit/agent/test_temperature_removal.py  | 19 +++--
 4 files changed, 47 insertions(+), 78 deletions(-)

diff --git a/redis_sre_agent/agent/knowledge_agent.py b/redis_sre_agent/agent/knowledge_agent.py
index 831f1a1f..60a5e21e 100644
--- a/redis_sre_agent/agent/knowledge_agent.py
+++ b/redis_sre_agent/agent/knowledge_agent.py
@@ -147,19 +147,10 @@ def _sanitize_messages_for_llm(msgs: list[BaseMessage]) -> list[BaseMessage]:
                 return clean
 
             # OTel: capture sanitize phase
-            try:
-                from opentelemetry import trace as _otel_trace  # type: ignore
-
-                _tr = _otel_trace.get_tracer(__name__)
-            except Exception:
-                _tr = None  # type: ignore
             _pre_count = len(messages)
-            if _tr:
-                with _tr.start_as_current_span(
-                    "knowledge.agent.sanitize", attributes={"messages.pre": _pre_count}
-                ):
-                    messages = _sanitize_messages_for_llm(messages)
-            else:
+            with tracer.start_as_current_span(
+                "knowledge.agent.sanitize", attributes={"messages.pre": _pre_count}
+            ):
                 messages = _sanitize_messages_for_llm(messages)
 
             try:
diff --git a/redis_sre_agent/agent/langgraph_agent.py b/redis_sre_agent/agent/langgraph_agent.py
index 5a6d4ca3..807b6b39 100644
--- a/redis_sre_agent/agent/langgraph_agent.py
+++ b/redis_sre_agent/agent/langgraph_agent.py
@@ -320,12 +320,18 @@ def __init__(self, progress_callback=None):
         """Initialize the SRE LangGraph agent."""
         self.settings = settings
         self.progress_callback = progress_callback
-        # Single LLM with both reasoning and function calling capabilities
+        # LLM with both reasoning and function calling capabilities
         self.llm = ChatOpenAI(
             model=self.settings.openai_model,
             openai_api_key=self.settings.openai_api_key,
             timeout=self.settings.llm_timeout,
         )
+        # Faster LLM for utility tasks
+        self.mini_llm = ChatOpenAI(
+            model=self.settings.openai_model_mini,
+            openai_api_key=self.settings.openai_api_key,
+            timeout=self.settings.llm_timeout,
+        )
 
         # Tools will be loaded per-query using ToolManager
         # No tools bound at initialization - they're bound per conversation
@@ -920,7 +926,9 @@ def _parse_tool_json_blocks(tool_msg_text: str) -> Optional[dict]:
             try:
                 from .models import TopicsList
 
-                extractor_llm = self.llm.with_structured_output(TopicsList)  # return TopicsList
+                extractor_llm = self.mini_llm.with_structured_output(
+                    TopicsList
+                )  # return TopicsList
                 instance_ctx = {
                     "instance_type": target_instance.instance_type,
                     "name": target_instance.name,
@@ -990,12 +998,7 @@ def _sev_score(t: dict) -> int:
                 knowledge_tools = tool_mgr.get_tools_for_capability(_ToolCap.KNOWLEDGE)
                 knowledge_adapters = await _build_adapters(tool_mgr, knowledge_tools)
                 if knowledge_adapters:
-                    knowledge_llm_base = ChatOpenAI(
-                        model=self.settings.openai_model_mini,
-                        openai_api_key=self.settings.openai_api_key,
-                        timeout=self.settings.llm_timeout,
-                    )
-                    knowledge_llm = knowledge_llm_base.bind_tools(knowledge_adapters)
+                    knowledge_llm = self.mini_llm.bind_tools(knowledge_adapters)
 
                 if knowledge_adapters:
                     logger.info(
diff --git a/redis_sre_agent/tools/knowledge/knowledge_base.py b/redis_sre_agent/tools/knowledge/knowledge_base.py
index d6022458..e96dd1d6 100644
--- a/redis_sre_agent/tools/knowledge/knowledge_base.py
+++ b/redis_sre_agent/tools/knowledge/knowledge_base.py
@@ -272,24 +272,16 @@ async def ingest(
             kwargs["product_labels"] = product_labels
 
         # OTel: instrument ingestion
-        try:
-            from opentelemetry import trace as _otel_trace  # type: ignore
-
-            _tr = _otel_trace.get_tracer(__name__)
-        except Exception:
-            _tr = None  # type: ignore
-        if _tr:
-            with _tr.start_as_current_span(
-                "tool.knowledge.ingest",
-                attributes={
-                    "title.len": len(title or ""),
-                    "category": str(category or ""),
-                    "has.labels": bool(product_labels),
-                    "has.severity": bool(severity),
-                },
-            ):
-                return await _ingest_sre_document(**kwargs)
-        return await _ingest_sre_document(**kwargs)
+        with tracer.start_as_current_span(
+            "tool.knowledge.ingest",
+            attributes={
+                "title.len": len(title or ""),
+                "category": str(category or ""),
+                "has.labels": bool(product_labels),
+                "has.severity": bool(severity),
+            },
+        ):
+            return await _ingest_sre_document(**kwargs)
 
     async def get_all_fragments(self, document_hash: str) -> Dict[str, Any]:
         """Get all fragments of a document.
@@ -301,19 +293,11 @@ async def get_all_fragments(self, document_hash: str) -> Dict[str, Any]:
             Dictionary with all document fragments
         """
         logger.info(f"Getting all fragments for document: {document_hash}")
-        try:
-            from opentelemetry import trace as _otel_trace  # type: ignore
-
-            _tr = _otel_trace.get_tracer(__name__)
-        except Exception:
-            _tr = None  # type: ignore
-        if _tr:
-            with _tr.start_as_current_span(
-                "tool.knowledge.get_all_fragments",
-                attributes={"document_hash": str(document_hash)[:16]},
-            ):
-                return await get_all_document_fragments(document_hash)
-        return await get_all_document_fragments(document_hash)
+        with tracer.start_as_current_span(
+            "tool.knowledge.get_all_fragments",
+            attributes={"document_hash": str(document_hash)[:16]},
+        ):
+            return await get_all_document_fragments(document_hash)
 
     async def get_related_fragments(
         self, document_hash: str, chunk_index: int, limit: int = 10
@@ -329,20 +313,12 @@ async def get_related_fragments(
             Dictionary with related fragments
         """
         logger.info(f"Getting related fragments for document {document_hash}, chunk {chunk_index}")
-        try:
-            from opentelemetry import trace as _otel_trace  # type: ignore
-
-            _tr = _otel_trace.get_tracer(__name__)
-        except Exception:
-            _tr = None  # type: ignore
-        if _tr:
-            with _tr.start_as_current_span(
-                "tool.knowledge.get_related_fragments",
-                attributes={
-                    "document_hash": str(document_hash)[:16],
-                    "chunk_index": int(chunk_index),
-                    "limit": int(limit),
-                },
-            ):
-                return await get_related_document_fragments(document_hash, chunk_index, limit)
-        return await get_related_document_fragments(document_hash, chunk_index, limit)
+        with tracer.start_as_current_span(
+            "tool.knowledge.get_related_fragments",
+            attributes={
+                "document_hash": str(document_hash)[:16],
+                "chunk_index": int(chunk_index),
+                "limit": int(limit),
+            },
+        ):
+            return await get_related_document_fragments(document_hash, chunk_index, limit)
diff --git a/tests/unit/agent/test_temperature_removal.py b/tests/unit/agent/test_temperature_removal.py
index e17ade41..e5a3ab9a 100644
--- a/tests/unit/agent/test_temperature_removal.py
+++ b/tests/unit/agent/test_temperature_removal.py
@@ -43,16 +43,15 @@ def test_langgraph_agent_no_temperature(self, mock_chat_openai):
 
         SRELangGraphAgent()
 
-        # Verify ChatOpenAI was called without temperature
-        mock_chat_openai.assert_called_once()
-        call_args = mock_chat_openai.call_args
-
-        # Check that temperature is not in the arguments
-        assert "temperature" not in call_args.kwargs
-
-        # Verify required arguments are present
-        assert "model" in call_args.kwargs
-        assert "openai_api_key" in call_args.kwargs
+        # Verify ChatOpenAI was called twice (self.llm and self.mini_llm)
+        assert mock_chat_openai.call_count == 2
+
+        # Check all calls to ensure none use temperature
+        for call_args in mock_chat_openai.call_args_list:
+            assert "temperature" not in call_args.kwargs
+            # Verify required arguments are present
+            assert "model" in call_args.kwargs
+            assert "openai_api_key" in call_args.kwargs
 
     @patch("redis_sre_agent.evaluation.judge.ChatOpenAI")
     def test_judge_no_temperature(self, mock_chat_openai):

From 938cec53f11e222d80fb2edd4d56e41c557fbe59 Mon Sep 17 00:00:00 2001
From: Andrew Brookins <a.m.brookins@gmail.com>
Date: Mon, 8 Dec 2025 17:42:55 -0800
Subject: [PATCH 9/9] fix: Correct mock patch paths for safety_fact_corrector
 tests

Patch at usage location (langgraph_agent) not definition location
---
 redis_sre_agent/agent/langgraph_agent.py      | 40 +++++--------------
 .../test_fact_check_prompt_additional.py      |  8 ++--
 tests/unit/agent/test_rladmin_fact_check.py   |  2 +-
 .../agent/test_rladmin_fact_check_more.py     |  4 +-
 4 files changed, 16 insertions(+), 38 deletions(-)

diff --git a/redis_sre_agent/agent/langgraph_agent.py b/redis_sre_agent/agent/langgraph_agent.py
index 807b6b39..36e2c739 100644
--- a/redis_sre_agent/agent/langgraph_agent.py
+++ b/redis_sre_agent/agent/langgraph_agent.py
@@ -17,6 +17,7 @@
 from langchain_openai import ChatOpenAI
 from langgraph.checkpoint.memory import MemorySaver
 from langgraph.graph import END, StateGraph
+from langgraph.prebuilt import ToolNode as LGToolNode
 from opentelemetry import trace
 from pydantic import BaseModel, Field
 
@@ -29,8 +30,10 @@
     save_instances,
 )
 from ..tools.manager import ToolManager
+from .helpers import build_adapters_for_tooldefs as _build_adapters
 from .helpers import log_preflight_messages
 from .prompts import SRE_SYSTEM_PROMPT
+from .subgraphs.safety_fact_corrector import build_safety_fact_corrector
 
 logger = logging.getLogger(__name__)
 tracer = trace.get_tracer(__name__)
@@ -284,12 +287,6 @@ def _extract_instance_details_from_message(message: str) -> Optional[Dict[str, s
     return None
 
 
-# SRE-focused system prompt
-# Prompts moved to redis_sre_agent/agent/prompts.py
-
-# Fact-checker prompt moved to redis_sre_agent/agent/prompts.py
-
-
 class AgentState(TypedDict):
     """State schema for the SRE LangGraph agent."""
 
@@ -337,9 +334,9 @@ def __init__(self, progress_callback=None):
         # No tools bound at initialization - they're bound per conversation
         self.llm_with_tools = self.llm  # Will be rebound with tools per query
 
-        # Workflow will be built per-query with the appropriate ToolManager
-        # Note: We create a new MemorySaver for each query to ensure proper isolation
-        # This prevents cross-contamination between different tasks/threads
+        # Workflow will be built per-query with the appropriate ToolManager.
+        # Note: We create a new MemorySaver for each query to ensure proper isolation.
+        # This prevents cross-contamination between different tasks/threads.
 
         logger.info("SRE LangGraph agent initialized (tools loaded per-query)")
 
@@ -799,10 +796,6 @@ async def tool_node(state: AgentState) -> AgentState:
 
             # 2) Build StructuredTool adapters once (resolve via ToolManager)
             try:
-                from langgraph.prebuilt import ToolNode as LGToolNode
-
-                from .helpers import build_adapters_for_tooldefs as _build_adapters
-
                 # Centralized adapter builder (returns StructuredTool adapters)
                 adapters = await _build_adapters(tool_mgr, list(tooldefs_by_name.values()))
 
@@ -992,8 +985,6 @@ def _sev_score(t: dict) -> int:
                 # Build knowledge-only adapters locally (mini model)
                 from redis_sre_agent.tools.models import ToolCapability as _ToolCap
 
-                from .helpers import build_adapters_for_tooldefs as _build_adapters
-
                 # Use all knowledge tools for the mini knowledge agent; no op-level filtering.
                 knowledge_tools = tool_mgr.get_tools_for_capability(_ToolCap.KNOWLEDGE)
                 knowledge_adapters = await _build_adapters(tool_mgr, knowledge_tools)
@@ -1559,8 +1550,6 @@ def get(self, key: str, default: Any = None):
             for tool in tools:
                 logger.debug(f"  - {tool.name}")
 
-            from .helpers import build_adapters_for_tooldefs as _build_adapters
-
             adapters = await _build_adapters(tool_mgr, tools)
 
             # Rebind LLM with tools for this query
@@ -1702,10 +1691,10 @@ async def process_query(
                 conversation_history,
             )
 
-            # Skip correction if out of Redis scope
+            # Skip correction if this message isn't about Redis
             try:
                 if not (self._is_redis_scoped(query) or self._is_redis_scoped(response)):
-                    logger.info("Skipping safety/fact-corrector (out of Redis scope)")
+                    logger.info("Skipping safety/fact-corrector (topic may not be Redis)")
                     return response
             except Exception:
                 pass
@@ -1715,10 +1704,6 @@ async def process_query(
                 return response
 
             # Build a small, bounded corrector with knowledge + utilities tools only
-            from langchain_openai import ChatOpenAI
-
-            from .subgraphs.safety_fact_corrector import build_safety_fact_corrector
-
             # Use always-on providers (knowledge, utilities)
             async with ToolManager(redis_instance=None) as corrector_tool_manager:
                 # Select knowledge and utility tools via capabilities.
@@ -1730,17 +1715,10 @@ async def process_query(
                 tooldefs = list(knowledge_defs) + list(utilities_defs)
 
                 # Build StructuredTool adapters centrally
-                from .helpers import build_adapters_for_tooldefs as _build_adapters
-
                 adapters = await _build_adapters(corrector_tool_manager, tooldefs)
 
                 # LLM with tools bound via adapters
-                corrector_llm_base = ChatOpenAI(
-                    model=self.settings.openai_model_mini,
-                    openai_api_key=self.settings.openai_api_key,
-                    timeout=self.settings.llm_timeout,
-                )
-                corrector_llm = corrector_llm_base.bind_tools(adapters)
+                corrector_llm = self.mini_llm.bind_tools(adapters)
 
                 # Build the compiled subgraph
                 corrector = build_safety_fact_corrector(
diff --git a/tests/unit/agent/test_fact_check_prompt_additional.py b/tests/unit/agent/test_fact_check_prompt_additional.py
index 5321c9c4..9d1c57c8 100644
--- a/tests/unit/agent/test_fact_check_prompt_additional.py
+++ b/tests/unit/agent/test_fact_check_prompt_additional.py
@@ -6,7 +6,7 @@
 
 
 @pytest.mark.asyncio
-@patch("redis_sre_agent.agent.subgraphs.safety_fact_corrector.build_safety_fact_corrector")
+@patch("redis_sre_agent.agent.langgraph_agent.build_safety_fact_corrector")
 async def test_corrector_runs_on_risky_patterns(mock_build):
     # Corrector returns edited content
     mock_corrector = MagicMock()
@@ -31,7 +31,7 @@ async def test_corrector_runs_on_risky_patterns(mock_build):
 
 
 @pytest.mark.asyncio
-@patch("redis_sre_agent.agent.subgraphs.safety_fact_corrector.build_safety_fact_corrector")
+@patch("redis_sre_agent.agent.langgraph_agent.build_safety_fact_corrector")
 async def test_corrector_skips_out_of_scope(mock_build):
     agent = SRELangGraphAgent()
     with patch.object(agent, "_process_query", new=AsyncMock(return_value="hello world")):
@@ -42,7 +42,7 @@ async def test_corrector_skips_out_of_scope(mock_build):
 
 
 @pytest.mark.asyncio
-@patch("redis_sre_agent.agent.subgraphs.safety_fact_corrector.build_safety_fact_corrector")
+@patch("redis_sre_agent.agent.langgraph_agent.build_safety_fact_corrector")
 async def test_corrector_no_change_returns_original(mock_build):
     # Corrector returns same text -> agent returns original (no edits footers)
     mock_corrector = MagicMock()
@@ -59,7 +59,7 @@ async def test_corrector_no_change_returns_original(mock_build):
 
 
 @pytest.mark.asyncio
-@patch("redis_sre_agent.agent.subgraphs.safety_fact_corrector.build_safety_fact_corrector")
+@patch("redis_sre_agent.agent.langgraph_agent.build_safety_fact_corrector")
 async def test_corrector_gates_by_url(mock_build):
     mock_corrector = MagicMock()
     mock_corrector.ainvoke = AsyncMock(
diff --git a/tests/unit/agent/test_rladmin_fact_check.py b/tests/unit/agent/test_rladmin_fact_check.py
index a6875068..0f1eb7f3 100644
--- a/tests/unit/agent/test_rladmin_fact_check.py
+++ b/tests/unit/agent/test_rladmin_fact_check.py
@@ -17,7 +17,7 @@
 
 class TestRladminCorrector:
     @pytest.mark.asyncio
-    @patch("redis_sre_agent.agent.subgraphs.safety_fact_corrector.build_safety_fact_corrector")
+    @patch("redis_sre_agent.agent.langgraph_agent.build_safety_fact_corrector")
     async def test_corrector_triggers_on_rladmin(self, mock_build):
         mock_corrector = MagicMock()
         mock_corrector.ainvoke = AsyncMock(
diff --git a/tests/unit/agent/test_rladmin_fact_check_more.py b/tests/unit/agent/test_rladmin_fact_check_more.py
index 1c5737fd..5892e668 100644
--- a/tests/unit/agent/test_rladmin_fact_check_more.py
+++ b/tests/unit/agent/test_rladmin_fact_check_more.py
@@ -13,7 +13,7 @@
 
 
 @pytest.mark.asyncio
-@patch("redis_sre_agent.agent.subgraphs.safety_fact_corrector.build_safety_fact_corrector")
+@patch("redis_sre_agent.agent.langgraph_agent.build_safety_fact_corrector")
 async def test_corrector_called_once_for_multiple_rladmin(mock_build):
     mock_corrector = MagicMock()
     mock_corrector.ainvoke = AsyncMock(
@@ -34,7 +34,7 @@ async def test_corrector_called_once_for_multiple_rladmin(mock_build):
 
 
 @pytest.mark.asyncio
-@patch("redis_sre_agent.agent.subgraphs.safety_fact_corrector.build_safety_fact_corrector")
+@patch("redis_sre_agent.agent.langgraph_agent.build_safety_fact_corrector")
 async def test_corrector_not_called_without_triggers(mock_build):
     agent = SRELangGraphAgent()
     with patch.object(agent, "process_query", new=AsyncMock(return_value="no cli here")):