Single tool 'calculator' has critical definition gaps. Tool name lacks action verb (should be 'evaluate_expression' or 'compute_math'). Description contains typo ('mathamatical') and is vague about when to use it vs other tools. Input schema present but parameter description is minimal (15 chars). No output schema documented. No error handling guidance. Tool uses eval() which is a severe security risk not addressed in the definition.

• Rename tool to 'evaluate_expression' or 'compute_math' to signal action verb and improve LLM intent detection.
• Expand description to 100-150 chars: 'Safely evaluate mathematical expressions using Python syntax. Supports math functions (sin, cos, sqrt, etc.) and random number generation. Returns numeric or boolean result. Use for calculations, not string manipulation.'
• Add parameter description: 'A valid Python mathematical expression (e.g., "2 + 3 * 4", "math.sqrt(16)", "random.randint(1, 100)"). Max 500 chars. Supports: math module functions, random module, basic operators, parentheses. No imports, file I/O, or external calls allowed.'
• Document output schema: '{"success": boolean, "result": number | boolean | null, "error": string | null}'. Clarify when 'success' is false and what 'error' contains.
• Add error handling: catch eval() exceptions and return structured errors like '{"success": false, "error": "Invalid expression: division by zero in 1/0"}' so LLM can retry with corrected input.

Inferred effective spec: <=2025-11-25.

• Relies on Logging (deprecated) - log to stderr or use OpenTelemetry