Critical gaps across all dimensions. Tool definitions lack proper JSON Schema with type constraints. Descriptions are present but minimal (10-50 chars), below the 50-200 char baseline for LLM optimization. No parameter descriptions visible in schema definitions. No output schemas documented. Error handling and recovery guidance absent. Tool composition shows tight coupling to Rider debugger internals rather than agent-friendly abstractions. No evidence of idempotency, pagination, or result limiting patterns.

• Add formal JSON Schema to all tools with 'properties', 'required', 'type', 'description' for each parameter. Example: {"properties": {"configuration": {"type": "string", "description": "Name of run configuration (e.g., 'Attach to Unity Editor')"}}, "required": ["configuration"]}
• Expand tool descriptions to 50-200 chars. Include WHAT the tool does, WHEN to use it, and what structure it returns. E.g., 'List all available run configurations in the Rider project. Returns array of config names. Call this first to discover valid configurations for start_debug_session.'
• Document output schemas for all tools. Specify return type (array, object, string), field names, and types. E.g., list_run_configurations returns {"configurations": ["string"], "total": "integer"}
• Add parameter constraints: 'line' must be a positive integer; 'session_id' must be a non-empty string; 'file_path' must be an absolute path. Include these in parameter descriptions and JSON Schema.
• Implement error handling with recovery guidance. E.g., if set_breakpoint fails with 'file not found', return 'File not found at {file_path}. Verify the path is correct and the file exists in the project.' instead of a bare error code.