This collection exhibits significant gaps across naming, descriptions, and error handling. Tool names lack consistent verb prefixes (e.g., 'multiplication' instead of 'multiply'). Descriptions are present but minimal (10-30 chars), below the 50-200 char LLM-optimized baseline. Parameter descriptions exist but are generic ('first number', 'second number'). No output schemas are documented. Critical issue: divide() returns float but is typed as int, risking silent type errors. Weather tools lack error recovery guidance. No tool annotations (readOnlyHint, destructiveHint) despite all being read-only. Overall pattern adherence is weak, most tools score 35-50 individually.

• Fix divide() return type: change signature to 'def divide(a: int, b: int) -> float:' to match implementation, or change implementation to 'return int(a / b)' if integer division is intended. Document the choice in the description.
• Expand tool descriptions to 50-150 chars. Example: 'add' → 'Add two integers and return their sum. Use when combining numeric values or performing arithmetic operations.'
• Document output schemas explicitly. For weather tools, return structured JSON: {event: string, area: string, severity: string, description: string} instead of formatted strings.
• Add error recovery guidance to weather tools. Example: 'If location not found, try nearby coordinates. If API timeout, retry after 5 seconds. If state code invalid, use two-letter US state abbreviation (CA, NY, TX).'
• Add tool annotations via FastMCP: use @mcp.tool(readOnlyHint=True) for all tools since they are read-only. This enables agents to reason about side effects and retry safety.