tool-design

To design agent-friendly tools, shape tool names, descriptions, parameter schemas, and response formats so they are unambiguous. Clear descriptions and consistent schemas reduce selection errors and help agents pass the right parameters.

Agent tool misuse often stems from ambiguous descriptions, overlapping functions, or unclear schemas. Debugging tool design involves diagnosing these issues and improving descriptions, schemas, and error messages to make correct usage obvious.

Standardize agent tools across an MCP system by applying consistent naming conventions, response formats, and namespaces. Consolidating overlapping functions clarifies when each tool should be used and reduces selection errors.

Write actionable error handling by designing error messages that guide agents through failure recovery without confusion. Errors should clearly indicate what went wrong and how the agent can correct the parameter or retry.

Yes, this tool design approach applies to creating new tool APIs and standardizing conventions across internal agent systems. It helps consolidate overlapping functions and clarify tool descriptions for existing agent toolkits.

Balance response completeness with token efficiency by designing return formats that provide necessary information without excessive verbosity. Optimizing response formats ensures agents receive actionable data without wasting context window tokens.