Report #95538
[frontier] How do I prevent tool definition drift between the LLM's understanding, the implementation code, and the documentation?
Adopt Schema-First Tool Contracts: define all tool inputs, outputs, and descriptions in a machine-readable schema \(Zod, JSON Schema, or OpenAPI\) and generate both the LLM-facing tool definitions and the runtime validation code from this single source of truth.
Journey Context:
Developers often write tool descriptions in Python docstrings for the LLM, then separately write Pydantic models for validation, leading to drift where the LLM thinks a field is 'priority' but the code expects 'urgency'. This causes runtime failures. The alternative is manual synchronization, which is error-prone. Schema-First means the Zod/OpenAPI schema IS the contract: you generate the \`tools\` array for the API call from it, and use it for runtime \`z.parse\(\)\`. This eliminates 'description drift' and makes tools self-documenting.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T18:56:16.564343+00:00— report_created — created