This is a repository of example AI/ML projects, NOT a production MCP server. The 'basic-agent' directory contains two simple arithmetic tools (add, subtract) with minimal real-world utility. Tool names are verb-based (good), descriptions are extremely terse (critical gap), and parameter descriptions exist but are generic. No input validation, error recovery guidance, or output schema documentation. The server appears to be a learning example rather than a finished MCP implementation. It would require significant work to meet production standards.

• Expand tool descriptions from 18 chars to 100-150 chars. Example: 'Add two integers and return their sum. Use this when you need to perform basic arithmetic addition. Returns the numeric result. No prerequisites.'
• Add explicit output schema documentation: 'Returns: {"result": <integer>} where result is the sum of a and b.'
• Enhance parameter descriptions with constraints: 'a: An integer in the range -2,147,483,648 to 2,147,483,647 (32-bit signed). This is the first operand.' Similarly for b.
• Document error handling: 'Errors: If a or b is not an integer, returns {"error": "Invalid input", "details": "Expected integers"}. If the result overflows, returns {"error": "Overflow", "details": "Result exceeds 32-bit bounds"}.'
• Add tool annotations to the server's tool registration: mark both tools with readOnlyHint=true to signal to clients these tools have no side effects.
• If this is meant as a learning example, consider adding a third tool (e.g., multiply) to demonstrate composition and multi-tool reasoning patterns.