Unverified50% confidenceCautionExact time
A common mistake is making all functionality into Tools, which forces the model to select from a large number of tools and causes every tool description to consume tokens.
1
Sources
50%
Confidence
Long-term
Relevance
10/11/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe quality of a tool's description directly determines whether the model can select the correct tool; vague descriptions cause the model to call the wrong tool or pass incorrect parameters.77% similarUnverifiedToo many tools cause model selection confusion; the current mainstream direction is to provide a small number of tools and let the model iteratively leverage them on its own, or let the model dynamically design tools based on the task (especially by writing scripts).74% similarUnverifiedAs tools multiply, a tool confusion problem arises where tools are not called when they should be and are called when they should not be; the Skill mechanism solves this problem by codifying workflows and significantly improves task completion accuracy.71% similarUnverifiedThe quality of support for Tool Use/Function Calling varies enormously across different models, and many open-source models perform inconsistently in multi-turn tool calls and complex parameter parsing.70% similarUnverifiedThe more tools there are and the more similar their descriptions, the overall usability of the entire tool chain may actually be lower than a system with fewer but precisely described tools.70% similar
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