tool-design

Design robust tool interfaces by enforcing clear description structure: what the tool does, when to use it, inputs it accepts, returns, and possible errors. Standardizing tool descriptions reduces ambiguity and prevents misuses.

An agent tool description must include what the tool does, when to use it, inputs it accepts, returns, and possible errors. Consistent naming conventions and example-driven guidance further reduce ambiguity.

Evaluate agent tools using evaluative templates for completeness, accuracy, and recoverability. These templates monitor quality across codebases, documentation, and ontologies to ensure reliable tool pipelines.

Yes, this approach applies to creating, refining, and evaluating MCP tools and error schemas. It standardizes tool descriptions and enforces clear structure across codebases and ontologies.

Agents misuse tools when tool design is ambiguous and inconsistent. Standardizing tool descriptions with clear structure, consistent naming, and example-driven guidance improves clarity and resilience.

The best way to structure tool descriptions is by explicitly defining what the tool does, when to use it, inputs, outputs, and error handling. This ensures unambiguous agent usage in tool pipelines.