GhostTown MCP is a minimal educational server with severe definition quality gaps. Two tools named identically ('add_tool') with nearly identical schemas and descriptions. While schemas are present and properly typed, descriptions are minimal (under 100 chars), parameter descriptions exist but are generic, and there is no error handling guidance. The duplicate tool naming violates single-responsibility principle and confuses agent tool selection. No output schema documentation. No error handling patterns. No security considerations for parameter validation. This is a toy implementation suitable for learning but unsuitable for production agent integration.

• Rename tools uniquely: 'add_floats', 'add_numbers', or separate by implementation (e.g., 'add_via_fastmcp', 'add_via_jsonrpc'). Each tool name must be distinct to avoid collision.
• Expand tool descriptions to 150 - 250 characters. Example: 'Add two floating-point numbers and return the sum. Accepts any finite float (e.g., -1e10 to 1e10). Returns a float. Idempotent; safe to retry.' This answers WHAT, WHEN, and guarantees.
• Document parameter constraints explicitly in descriptions: 'The first number (float). Any finite value, e.g., -1e10 to 1e10. Non-finite inputs (NaN, infinity) will return an error.'
• Add output schema to tool definition: 'Returns: {"type": "number", "description": "The sum of a and b as a float."}' Make it clear the return is a plain float, not wrapped in an object.
• Implement input validation with actionable error messages. Example: 'if math.isnan(a) or math.isinf(a): raise ValueError("Parameter a must be a finite float, got " + str(a))'. This guides LLM recovery.
• Add a docstring note: 'Idempotent: repeated calls with the same parameters return the same result; safe to retry.' This clarifies retry semantics for agents.
• Consider splitting into separate, clearly-named tools if the fastmcp and jsonrpc versions have different behaviors or performance characteristics. If they are identical, keep only one.