Two tools with basic schemas and minimal descriptions. Both tools have proper input schemas with typed parameters and descriptions, meeting baseline requirements. However, descriptions are extremely brief (16-28 chars), falling well below the 50-200 char LLM-optimized range. No output schemas documented. No error handling guidance. No tool annotations. The 'add' tool is trivial (simple arithmetic); 'get_weather' makes external API calls but lacks timeout/retry guidance or error recovery hints. Neither tool documents what happens on failure or how to recover.

• Expand 'add' description to: 'Add two integers and return their sum. Use for arithmetic calculations. Returns an integer result.'
• Expand 'get_weather' description to: 'Fetch current weather for a city using wttr.in API. Returns weather condition and temperature. May fail if city name is invalid or API is unreachable, suggest alternative city names on 404.'
• Document output schemas: add returns {type: integer}, get_weather returns {type: string, description: 'Weather condition and temperature'}
• Add error handling to get_weather: catch timeout (>10s), invalid city (404), and API errors; return actionable messages like 'City not found. Try: New York, London, Tokyo'
• Add tool annotations: mark both as readOnlyHint=true (safe to retry); add is idempotentHint=true

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry