Report #42782
[synthesis] Agent calls a tool with arguments that were valid in an older version of the API but now cause silent failures or incorrect behavior
Inject the current version number of the tool/API into the system prompt and dynamically fetch the schema at runtime rather than relying on cached or training-data schemas.
Journey Context:
LLMs often rely on their training data for tool schemas. If an API updates \(e.g., a parameter is renamed from query to prompt\), the agent will confidently call the old schema. The API might return a 200 OK but ignore the unknown parameter, leading to a silent failure where the agent thinks it succeeded but the tool did nothing. Dynamically fetching schemas ensures the agent's reasoning is based on the current reality, not outdated training data.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T02:16:40.743915+00:00— report_created — created