Unverified50% confidenceFactExact time
Common tool-calling evaluation frameworks break tool failures into two major categories: "wrong tool selected" and "correct tool selected but wrong parameters," with parameter errors further divided into structure and value validation.
1
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50%
Confidence
Long-term
Relevance
10/20/2026
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Related Claims
UnverifiedTool routing itself can also go wrong, so when classification fails it should fall back to a conservative mode containing all tools rather than directly rejecting the request.79% similarUnverifiedWhen multiple tools are semantically similar, the model's tool selection is essentially a multi-class classification problem, and the more candidate classes there are, the higher the misclassification rate.76% similarUnverifiedWhen designing tool-call logs, wrong tool selection and parameter errors should be recorded in separate tables; otherwise, subsequent attribution analysis cannot distinguish routing problems from argument-passing problems.76% similarUnverifiedThe quality of tool descriptions directly affects the model's invocation accuracy; vague descriptions or ambiguous parameter naming will cause the model to frequently pass in incorrect parameters.71% similarUnverifiedIf the data always provides tools that get used, the model learns the erroneous association that it must use a tool whenever it sees one.71% similar
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