Unverified50% confidenceFactExact time
vLLM may exhibit accuracy fluctuations in tool-calling scenarios, leading to parameter format errors or call failures.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/26/2026
First Seen
Valid until: 1/24/2027
Sources
Related Entities
Related Claims
UnverifiedA value error means the LLM selected the right tool and knew it should call it, but the parameter values passed in were wrong.76% similarUnverifiedSmall models are often unstable in tool-call format, producing missing parameters, wrong field names, or mixed natural-language output, which causes parsing failures and task interruption.73% similarUnverifiedTool Use/Function Calling places extremely high demands on the stability of a model's output format; web model output is not optimized for tool calling, and early versions frequently produced format errors.70% similarUnverifiedFor LLM services, error sources may include rate limiting (429), gateway or inference backend timeouts (5xx), authentication or quota issues (4xx), and model inference failures, among others.70% 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.70% similar
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