Three tools with minimal definitions. All have basic verb-noun naming (add, multiply, get_weather) and input schemas with typed parameters. However, descriptions are extremely short (10-30 chars, well below the 50-200 char baseline for A+ tools). Parameter descriptions exist but are generic ('first number', 'the location'). No output schemas documented. No error handling guidance. No indication of idempotency, side effects, or when to use each tool. Tool composition is reasonable (single responsibility), but overall quality is far below production baseline.

• Expand tool descriptions to 50-200 chars. Example: 'add: Adds two integers and returns their sum. Use for arithmetic calculations. Returns a single integer result.' This tells the LLM what, when, and what to expect.
• Document output schemas explicitly. For add/multiply, state 'Returns: integer (the sum/product)'. For get_weather, state 'Returns: string (weather description for the location, e.g., "Sunny, 72°F")' or return structured JSON {temperature, condition, location}.
• Add constraints to parameter descriptions. Example: 'a: integer, range -1,000,000 to 1,000,000' and 'location: string, city name or lat,lon format (e.g., "San Francisco" or "37.7749,-122.4194")'.
• Add error handling guidance. For get_weather, document: 'Returns error if location is invalid or API is unavailable. Suggest user clarify location (city, state, country) or retry after 30 seconds.'
• Declare idempotency and side effects. add() and multiply() are read-only and idempotent (safe to retry). get_weather() is read-only but may have rate limits, document this.