This server has only 2 tools with minimal schema definition and weak documentation. The 'add' tool has a proper input schema with typed parameters and descriptions, but the 'secret_word' tool has an empty input schema. Descriptions are present but extremely brief (under 30 characters for both), falling well below the baseline of 194 characters for production tools. No output schemas are documented. The server lacks error handling guidance, parameter constraints (enums, ranges, defaults), and does not follow LLM-optimized description patterns. Tool composition is trivial (simple arithmetic and a hardcoded return), so composition issues are moot, but naming and descriptions need significant work for agent usability.

• Expand tool descriptions to 50 - 150 characters. Include WHAT the tool does, WHEN to call it, and WHAT it returns. Example: 'add: Performs arithmetic addition of two integers. Use when you need the sum of two numbers. Returns the integer result. Supports numbers in range -2^31 to 2^31-1.'
• Add a proper input schema to 'secret_word' with at least a required type declaration, e.g. {'type': 'object', 'properties': {}, 'required': []}. Explain what the tool returns in the description.
• Document output schemas for both tools. Example: 'add returns: {"type": "integer", "description": "Sum of a and b"}' and 'secret_word returns: {"type": "string", "description": "A fixed secret string used for testing."}'
• Rename 'secret_word' to 'get_secret_word' to follow verb_noun naming convention and make intent clear to LLMs.
• Add min/max constraints to 'add' parameters: 'a: Integer in range -2147483648 to 2147483647' and similarly for 'b'. Use JSON Schema minValue/maxValue if the framework supports it.
• Implement error handling: validate inputs, return structured error responses with actionable guidance. Example: 'Invalid input: a and b must be integers. Received a=<type>, b=<type>.'
• Consider adding a resource or tool that explains what tools are available and when to use them. This would reduce LLM confusion when choosing between similar utilities.

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

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