Server has 4 tools with basic schemas and descriptions, but significant quality gaps. Tool naming is acceptable (verb_noun pattern), but descriptions are minimal (10-50 chars, below the 50-200 char baseline for LLM optimization). Input schemas are present but lack parameter descriptions, critical for LLM reasoning. No output schemas documented. Duplicate tool 'get_alerts' appears twice (lines in client-sse.py and server.py), indicating poor tool registration hygiene. Error handling is minimal (returns plain strings, no recovery guidance). No input validation, no enum constraints, no parameter ranges. The 'echo_resource' tool appears to be a test artifact unrelated to weather domain.

• Remove duplicate 'get_alerts' tool definition. Consolidate to single registration in server.py with explicit @mcp.tool() decorator.
• Expand tool descriptions to 50-200 chars. Example: 'Get active weather alerts for a US state. Returns event type, severity, area, and instructions. Use when user asks about warnings or hazards in a specific state.'
• Add parameter descriptions to all inputs. Example: 'state: Two-letter US state code (CA, NY, TX, etc.). Must be uppercase.'
• Document output schemas. Return structured JSON: {'alerts': [{'event': str, 'area': str, 'severity': str, 'description': str}], 'count': int} instead of plain text.
• Add input validation with enum constraints for state codes and numeric bounds for lat/lon. Return actionable errors: 'Invalid state code "XX". Valid codes: CA, NY, TX, ...' instead of generic 'Unable to fetch'.