Three tools with basic schemas and descriptions, but significant gaps in parameter documentation and output schema clarity. Tool names lack action verbs (echo, generate_report, divide are generic). Descriptions are present but minimal (10-40 chars), below the 50-200 char LLM-optimized baseline. Input schemas are visible and typed, but parameter descriptions are sparse. No output schemas documented. Error handling and recovery guidance absent. The framework supports strong typing via Codable and @InputProperty, but the example tools do not leverage it fully.

• Rename tools to verb_noun pattern: 'echo_message', 'generate_text_report', 'divide_numbers'. This helps LLMs infer intent from the name alone.
• Expand descriptions to 50-200 chars. Example: 'echo_message: Echo back a user-provided message. Use this to test connectivity or confirm input parsing. Returns the exact input string.'
• Document output schemas explicitly. Add a 'Returns' section to each tool description or a separate outputSchema field. Example: 'Returns: {result: number, error?: string}'.
• Add parameter descriptions for all inputs. For 'divide', specify: 'a: First number (dividend). b: Second number (divisor, must not be zero).'
• Implement error handling with recovery guidance. Example: 'If b is zero, return error: "Division by zero. Provide a non-zero divisor." (user-fixable)'.

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

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