Server provides 7 well-structured tools with complete input schemas and clear descriptions. All tools follow verb_noun naming (maps_geocode, maps_search_places, etc.) and are READ_ONLY. Schemas are properly typed with required fields. However, descriptions are minimal (10-60 chars, well below the 194-char baseline for A+ tools), lack context about when to use each tool, and omit dependency hints. Parameter descriptions are present but terse. No output schemas are documented, LLMs cannot predict response structure for chaining. Error handling is present but not visible in source; recovery guidance is absent. Overall solid foundation but lacks the depth needed for production-grade agent reasoning.

• Expand tool descriptions to 100-200 chars. Include WHAT the tool does, WHEN to use it (vs similar tools), and WHAT it returns. E.g., 'maps_geocode: Convert a street address to latitude/longitude coordinates. Use this to locate a place by name before calling maps_place_details or maps_distance_matrix. Returns formatted address, place ID, and geometry.'
• Document output schemas in tool descriptions or as a separate schema field. Specify key response fields (e.g., 'Returns: {lat, lng, formatted_address, place_id}') so LLMs can plan downstream calls.
• Add tool annotations: set readOnlyHint=true for all 7 tools to signal they are safe to call without side effects.
• Add min/max constraints to numeric parameters in schemas. E.g., radius: {type: 'number', minimum: 0, maximum: 50000}. Update descriptions to reference these constraints.
• Include error recovery hints in descriptions. E.g., 'If no results found, try a broader search query or check coordinates are valid (lat -90 to 90, lng -180 to 180).'