This server has 4 tools across TypeScript and Python implementations. All tools have basic descriptions (10-50 chars) and input schemas with type definitions. However, descriptions are minimal and lack LLM-optimized guidance on WHEN to use each tool or WHAT to do with results. Parameter descriptions exist but are terse. No output schemas documented. No error handling guidance. Naming is clear (get_alerts, get_forecast) but descriptions don't explain dependencies or prerequisites. This is typical community-grade work, functional but not production-ready.

• Expand tool descriptions to 100-200 characters. Example: 'Get active weather alerts for a US state. Returns event type, severity, headline, and affected area. Use this to warn users of storms, floods, or other hazards. Requires a two-letter state code (CA, NY, TX).'
• Document output schemas explicitly. Show what fields get_alerts returns (event, severity, headline, areaDesc, etc.) and their types. This enables LLMs to extract and chain data correctly.
• Add error handling with recovery hints. When state code is invalid, return: 'Invalid state code "XX". Use two-letter US state abbreviations (e.g., CA, NY, TX). Call list_states() to see all valid codes.' (or document valid codes in the description).
• Standardize tool naming: use snake_case consistently across both TypeScript and Python implementations. Rename get-alerts → get_alerts, get-forecast → get_forecast in TypeScript.
• Add parameter descriptions for latitude/longitude in get_forecast. Current descriptions are minimal. Clarify: 'Latitude of the location (-90 to 90). Use negative values for southern hemisphere.' Same for longitude.