Report #84285
[synthesis] Agent blames wrong tool for failure caused by upstream schema drift
Implement strict schema validation \(e.g., Pydantic\) on all tool outputs before passing data to the next step. If validation fails, halt the chain and report the schema mismatch, rather than attempting to proceed with null or incorrect values.
Journey Context:
Developers often assume tool outputs are stable and match the provided schemas. In reality, APIs change, and LLMs are bad at handling missing keys \(they hallucinate defaults\). Adding strict validation at every boundary breaks the cascade early, making debugging possible.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T00:03:57.929367+00:00— report_created — created