Unverified50% confidenceTradeoffExact time
When a tool calling an external API throws an error, the designer must decide whether to pass the error to the model for a retry or to raise it directly to the user
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen the server rejects an invalid tool parameter and returns a tool error, by default the model receives the failure as guidance and can retry, rather than receiving fabricated data.73% similarUnverifiedMisreporting tool execution errors as protocol errors causes the model to miss useful hint information and be unable to self-correct, causing the agent to stop or enter an infinite loop.72% similarUnverifiedIn Agentic scenarios, sources of error may include prompt design flaws, tool API return formats not matching expectations, information loss during multi-step reasoning, or gaps in the model's domain knowledge.70% similarUnverifiedA value error means the LLM selected the right tool and knew it should call it, but the parameter values passed in were wrong.69% similarUnverifiedThe approach of having the model assemble requests on its own solely based on API documentation has limitations: it may hallucinate parameters, overlook authentication, handle errors improperly, and requires stuffing complete documentation into the context, causing context bloat, increasing costs, and reducing accuracy.69% similar
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