Single tool with well-structured schema, comprehensive description, and thoughtful error handling. Tool name follows verb_noun pattern (get_location_label). Input schema includes proper types, ranges, and defaults. Description (280 chars) is LLM-optimized and includes usage guidance. Output schema documented in docstring with field-by-field explanations. Error handling is exceptional, returns actionable recovery guidance for 401, 429, 422, 502, timeout, and generic exceptions. Main gaps: no tool annotations (readOnlyHint, idempotentHint), no parameter enums despite constrained inputs (lat/lng ranges, radius bounds), and output schema not formally declared in JSON Schema format.

• Add JSON Schema output_schema to @mcp.tool() decorator with typed fields: place (string), label (string), category (string), distance_meters (int), is_open (boolean|null), opens_at (string|null), closes_at (string|null), opening_hours (string|null), cached (boolean), error (string|null).
• Add tool annotations: readOnlyHint=true and idempotentHint=true to signal safe retry behavior to agents.
• Declare numeric constraints in schema: lat with minimum=-90, maximum=90; lng with minimum=-180, maximum=180; radius with minimum=10, maximum=500.
• Enhance error responses with structured classification: return {error: string, retryable: boolean, user_fixable: boolean} to guide agent recovery logic.
• Consider adding a 'category' enum parameter to filter results (e.g. category=['gym', 'restaurant', 'pharmacy']) if the API supports it, reducing false positives.