Two tools with basic verb-noun naming (get_alerts, get_forecast). Both have short descriptions (34-40 chars, below the 50-200 char baseline for LLM-optimized descriptions). Input schemas are present with type definitions and parameter descriptions, meeting minimum requirements. However, output schemas are completely undocumented, tools return plain strings with no structured format guidance. No error handling guidance, no pagination support, no field-level documentation of what the string contains. No tool annotations (readOnlyHint, etc.). Composition is reasonable (two distinct concerns), but descriptions lack WHEN/WHY context and dependency hints.

• Expand tool descriptions to 80-150 chars. Include WHEN to use (e.g., 'Get active weather alerts for a US state to warn users of severe weather, floods, or tornado watches') and WHAT is returned (e.g., 'Returns event type, severity, area, and instructions').
• Document output schema explicitly. Define the string format: 'Returns formatted alerts as text blocks separated by ---. Each block contains: Event, Area, Severity, Description, Instructions.' Or better, return structured JSON with alert objects.
• Add error handling guidance. Distinguish 'Invalid state code' (user-fixable, suggest valid codes) from 'NWS API timeout' (retryable). Return actionable error messages like 'Invalid state: got "XX", must be 2-letter US state code (e.g., CA, NY, TX)'.
• Add readOnlyHint annotation to both tools via FastMCP decorator or schema metadata to signal safety to agents.
• Add optional limit and offset parameters to get_forecast to support pagination. Document the default (5 periods) and max allowed (e.g., 20).