Six tools with clear verb-noun naming (google_maps_search, google_maps_place_details, etc.). All have descriptions (avg ~80 chars, baseline 194). Input schemas present with types and descriptions. However, critical gaps: (1) No output schemas documented, LLMs cannot predict response structure for chaining; (2) Parameter descriptions lack format constraints (e.g., 'll' format '@lat,lng,zoomz' stated but not validated); (3) No error handling guidance, tools return dict but no recovery hints; (4) Mutually exclusive parameters (placeId|dataId|query) not clearly marked as such; (5) No pagination guidance despite search returning ranked results. Tools are functional but lack production-grade polish for agent reasoning.

• Document output schemas for all tools. E.g., 'Returns {places: [{placeId, name, rating, address, phone, website, ...}], total_results, next_offset}'. Use TypedDict or Pydantic model docstrings visible in code.
• Mark mutually exclusive parameters explicitly: 'Provide exactly one of placeId, dataId, or query. If none provided, returns error: "Missing identifier."'
• Add error handling guidance to each tool description. E.g., 'If placeId is invalid, returns {error: "Place not found"}. Try google_maps_search() to find the correct placeId.'
• Add 'limit' parameter to google_maps_search and document result capping. E.g., 'Maximum 20 results per call. Use 'start' offset for pagination.'
• Validate parameter formats at tool entry. E.g., check 'll' matches regex '^@[\d.-]+,[\d.-]+,\d+z$' and return actionable error if invalid.