How do you design tool schemas so the agent can’t misinterpret fields?

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Accepted Answer

Designing tool schemas to prevent agent misinterpretation hinges on creating unambiguous and precise field definitions. This involves using descriptive and consistent naming conventions for fields, coupled with comprehensive natural language descriptions that clearly explain each field's purpose, expected values, and any constraints. Furthermore, specifying strict data types (e.g., integer, string, boolean, enum) and providing illustrative examples for each parameter helps the agent understand the exact format and range of acceptable inputs. Clearly marking required versus optional fields and defining sensible default values further reduces ambiguity, guiding the agent even when complete information isn't explicitly provided. Incorporating robust validation rules directly within the schema or through accompanying documentation, alongside clear error messaging, allows the agent to self-correct or request clarification efficiently. Finally, designing schemas with contextual relevance and explicitly defining relationships between fields or objects helps the agent build a coherent mental model of the tool's capabilities and expected interactions.