Two tools are present with basic descriptions and schema, but they exhibit significant gaps. Both tools use generic verb_noun naming (get_alerts, get_forecast) which is acceptable, but descriptions lack depth and parameter documentation is incomplete. No output schemas are documented, and error handling provides minimal guidance. The tools return unstructured strings rather than structured objects. Both tools lack parameter validation constraints and input format guidance. The server does not implement any error recovery patterns or field documentation needed for downstream tool chaining. Tool definitions are directly visible in weather.py, avoiding inference penalties, but quality remains mediocre for production use.

• Add output schema documentation. For get_alerts, return a JSON object with fields: {alerts: [{event: string, area: string, severity: string, description: string, instruction: string}], total_count: number, has_more: boolean}. For get_forecast, return {periods: [{name: string, temperature: number, unit: string, wind_speed: string, wind_direction: string, forecast: string}], location: {latitude: number, longitude: number}, issued_time: string}.
• Enhance parameter descriptions with constraints: state='Two-letter US state code (uppercase, e.g. CA, NY, TX, must be valid FIPS state abbreviation)', latitude='Latitude in decimal degrees, range -90 to 90', longitude='Longitude in decimal degrees, range -180 to 180'.
• Expand tool descriptions to 100-150 characters with WHEN/WHY context. E.g., 'Get active weather alerts for a US state. Call this to inform users of severe weather, watches, and warnings. Returns list of alerts with event type, severity, and recommended actions.'
• Implement error classification. Return structured error responses with retryable/user-fixable/fatal classification. E.g., '{"error": "Invalid state code: XX", "type": "user_fixable", "guidance": "State must be valid 2-letter US code (CA, NY, TX, etc.)"}' or '{"error": "API timeout after 30s", "type": "retryable", "guidance": "Weather API is slow. Retry in 5-10 seconds."}'.
• Add pagination to get_alerts. Accept optional parameters: limit (default 10, max 50) and offset (default 0). Return total_count and has_more in response so LLM knows whether to fetch more.