Question

You are building a Foundry agent for a logistics company. The agent calls a custom function tool that queries a shipment tracking API. During testing, the agent occasionally invents delivery dates that were not present in the tool's response, presenting them confidently to users. You need to reduce these fabricated values while keeping the tool integration. Which approach most directly addresses the root cause?

Accepted Answer

Add explicit system instructions requiring the agent to only report field values returned by the tool and to state 'unknown' when a value is absent, then validate with a groundedness evaluator

Answer

Increase the temperature and top_p generation parameters so the model produces more varied responses grounded in the tool output

Answer

Switch the custom function tool to a code interpreter tool so the model can compute delivery dates itself

Answer

Remove the tool schema's optional fields so the model has fewer parameters to reason about