Two tools with basic verb-noun naming (get_alerts, get_forecast). Both have short descriptions (34-40 chars, below the 50-200 char LLM-optimized baseline). Input schemas are present with typed parameters and descriptions, but output schemas are completely undocumented, tools return free-form strings with no structured field definitions. No error handling guidance, no parameter constraints (e.g., state code validation), and no indication of what fields the LLM should expect in responses. Composition is reasonable (two distinct concerns), but lack of structured output and error recovery patterns significantly limits agent usability.

• Add structured output schemas. Document what fields each tool returns (e.g., get_alerts returns array of {event, area, severity, description, instructions}; get_forecast returns array of {name, temperature, wind_speed, wind_direction, forecast_text}).
• Expand tool descriptions to 80-150 chars. Example: 'Get active weather alerts for a US state. Returns event type, affected area, severity level, and recommended actions. Use this to check for warnings before planning outdoor activities.'
• Add enum constraint for state parameter: restrict to valid 2-letter US state codes (AL, AK, AZ, ..., WY). Validate input and return 'Invalid state code: must be 2-letter US state abbreviation' on mismatch.
• Implement error recovery guidance. Replace generic 'Unable to fetch' responses with actionable messages: 'Failed to fetch alerts for state code {state}. Verify the code is valid (e.g., CA, NY) and try again. If the issue persists, the NWS API may be temporarily unavailable.'
• Document result limits and pagination in descriptions. For get_forecast, state 'Returns the next 5 forecast periods (typically 2.5 days). For longer forecasts, call this tool multiple times or use the NWS API directly.' For get_alerts, add 'Returns all active alerts (typically 0-20 per state). No pagination available; all results returned in one call.'