Four tools with complete schemas and descriptions, but significant quality gaps. Tool names lack clear action verbs (post_v1_* prefix obscures intent). Descriptions are present but generic (10-50 chars for most). Parameter descriptions are verbose API documentation rather than LLM-optimized guidance. No output schemas documented. Error handling absent. Naming convention 'post_v1_places_autocomplete' violates verb_noun pattern, should be 'search_places_autocomplete' or 'autocomplete_places'. Tool #4 'get_v1_name' is cryptic; should be 'get_place_photo_media'. Parameters like 'locationBias' and 'locationRestriction' are API-centric, not agent-friendly.

• Rename tools to verb_noun pattern: 'autocomplete_places', 'search_places_nearby', 'search_places_text', 'get_place_photo'. Remove REST method prefix (post_v1_, get_v1_).
• Add output schemas documenting returned fields (place_id, name, address, rating, photos, etc.). Include which fields are required for chaining (e.g., place_id needed for get_place_photo).
• Rewrite tool descriptions to 50-150 chars, answering: What does it do? When use it instead of similar tools? Example: 'Autocomplete place names as user types. Use for real-time search suggestions. Returns place predictions with IDs for detail lookup.'
• Convert verbose parameter descriptions to concise constraints. Replace 200-char docs with: 'Session token (UUID, max 36 chars). Reuse within one search session for billing optimization. Generate fresh token per new search.'
• Add error recovery hints to descriptions: 'If no results, try expanding locationBias or removing type filters. If rate-limited, wait 60s before retry.'