Two tools with minimal but present schemas and descriptions. Both tools have proper input schemas with typed parameters (latitude, longitude as floats with descriptions). Descriptions exist but are extremely brief (10-11 chars each, well below the 50-200 char LLM-optimized baseline). No output schemas documented. No error handling guidance. No parameter constraints or validation hints. Tools return unstructured strings rather than typed objects. No tool annotations (readOnlyHint present in metadata but not declared in schema). Composition is reasonable (two distinct weather operations), but overall quality is below production baseline.

• Expand tool descriptions to 80-150 chars. Example: 'get_current_weather: Fetch real-time weather conditions (temperature, humidity, wind, precipitation) for a location. Use this for current conditions; call get_forecast for multi-day outlook. Requires valid latitude (-90 to 90) and longitude (-180 to 180).'
• Document output schema as a typed object. Example: {type: 'object', properties: {temperature_c: {type: number}, humidity_percent: {type: number}, wind_speed_kmh: {type: number}, weather_code: {type: integer}, timestamp: {type: string, format: 'date-time'}}}
• Add parameter constraints in descriptions: 'latitude (float, -90 to 90): Latitude of the location in decimal degrees' and 'longitude (float, -180 to 180): Longitude of the location in decimal degrees'.
• Implement structured error responses. Instead of returning a string, return {success: false, error: 'Unable to fetch weather data', recovery_hint: 'Check that latitude and longitude are valid. Retry in 30 seconds if the API is temporarily unavailable.'}
• Distinguish tools in descriptions. Clarify that get_current_weather returns immediate conditions while get_forecast returns hourly/daily projections. Help LLMs choose the right tool.