The weather-server defines 4 tools with mixed quality. All tools have descriptions and input schemas visible in weather.py, but several gaps limit effectiveness. Naming follows verb_noun convention (get_*), which is good. However, descriptions lack specificity about prerequisites, dependencies, and error recovery. Parameters have type definitions (string) and descriptions, but lack enums, format constraints, and validation guidance. Output schemas are not documented, the code uses formatter helper functions (format_weather, format_earthquake_data, etc.) that return free-form strings, not structured objects. Error handling is minimal: the make_api_request helper returns None on failure with no actionable guidance. Parameters like 'district' and 'state' in get_water_level_condition lack mutual-exclusivity documentation. Defaults are reasonable (empty strings) but not optimized. The server does not expose secrets as parameters (good), but lacks audit logging and detailed permission scoping. Overall, this is a fair-to-poor community server with workable definitions but significant gaps in LLM-optimization and error guidance.

• Document the output schema for each tool. Instead of returning a formatted string, return a structured object with typed fields. E.g., for get_weather_forecast, return {"location_name": "string", "date": "string", "morning_forecast": "string", "min_temp": "float", "max_temp": "float", "forecasts": [{...}]}. Include this schema in the tool description or return type documentation.
• Add enums or validation patterns for 'district' and 'state' parameters. If possible, document valid district and state names or provide a discovery tool (e.g., list_districts, list_states) that the LLM can call first.
• Enhance parameter descriptions with explicit format rules and examples. E.g., 'datetime_start: ISO 8601 timestamp string in format YYYY-MM-DD HH:mm:ss (e.g., 2024-01-15 14:30:00). If omitted, defaults to the current date and time at 00:00:00.'
• Implement actionable error handling. Instead of returning None, return a structured error: {"error": "API request failed", "reason": "Connection timeout after 30s", "recovery": "Retry the request in a few moments. If the problem persists, check your internet connection or contact the administrator."}. Document these error cases in the tool description.
• Add pagination support with limit and offset parameters. Document a reasonable default limit (e.g., 20 results) and max limit (e.g., 100). Return a total_count or next_offset so the LLM can fetch additional pages if needed.
• Clarify tool selection context. Add to get_warning: 'Use this to fetch issued warnings (e.g., thunderstorm, flood alerts) within a date range.' Add to get_weather_forecast: 'Use this to fetch 3-day or multi-day weather predictions for a specific location.' This helps LLMs choose the right tool.