Single tool with basic structure but significant gaps. Tool name 'get_weather' follows verb_noun convention (+). Description is present but minimal (47 chars, below 50-200 char baseline for LLM optimization). Input schema is properly typed with location parameter, but lacks enum constraints, format specifications, or range limits. No output schema documented, LLMs cannot predict response structure. No error recovery guidance beyond generic exception handling. Missing parameter descriptions for 'location' (only 'The city name or location to get weather for', 47 chars, acceptable but minimal). No pagination, rate limiting, or result limits documented despite calling external API. Tool is read-only (good), but no explicit idempotentHint annotation.

• Document complete output schema: {location: string, current_condition: object, weather_description: string, temperature_C: number, temperature_F: number, humidity: number, wind_speed: number}. Include field descriptions and types.
• Add format constraints to location parameter: 'City name (e.g., London, New York) or City, Country (e.g., Paris, France). Ambiguous names may return results for the most populous match.'
• Implement error categorization: distinguish 'Location not found' (user-fixable, suggest alternatives) from 'API timeout' (retryable) from 'API rate limited' (backoff required). Return structured error with recovery hint.
• Add explicit timeout (e.g., 5 seconds) to axios call and document in description: 'Timeout: 5 seconds. If weather service is slow, retry after 10 seconds.'
• Add idempotentHint: true to tool schema to signal safe retry behavior on transient failures.