complexity_hotspots
Retrieve code nodes with cyclomatic complexity above a given threshold to identify high-risk areas in your codebase.
Instructions
Return nodes whose cyclomatic complexity meets the threshold.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| threshold | No | ||
| session_id | No |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |
Implementation Reference
- The core handler for complexity_hotspots — delegates to engine.complexity_hotspots(threshold) on the QueryEngine instance stored in the current session handle.
def complexity_hotspots( self, threshold: int = 10, session_id: str | None = None, ) -> list[dict[str, Any]]: return self._require_scanned_handle(session_id).engine.complexity_hotspots(threshold) - ToolSpec schema defining the tool name, category (navigation), description, and parameters (threshold: integer with default 10, session_id: string|null).
name="complexity_hotspots", category="navigation", description="Return nodes whose cyclomatic complexity meets the threshold.", parameters={"threshold": _param("integer", default=10), "session_id": SESSION_ID_PARAM}, ), - src/trailmark_mcp/mcp_app.py:105-108 (registration)MCP tool registration via @mcp.tool() decorator — wraps the runtime method with FastMCP, exposing the tool to the MCP server.
@mcp.tool() def complexity_hotspots(threshold: int = 10, session_id: str | None = None) -> list[dict[str, Any]]: """Return nodes whose cyclomatic complexity meets the threshold.""" return app_runtime.complexity_hotspots(threshold=threshold, session_id=session_id) - Helper usage during save_snapshot: writes engine.complexity_hotspots(10) to a 'hotspots.json' snapshot file.
self._write_json(snapshot_dir / "hotspots.json", engine.complexity_hotspots(10))