Unverified50% confidenceFactExact time
Providing 40 tools to a model at once leads to decreased accuracy, increased latency, and higher cost.
1
Sources
50%
Confidence
Long-term
Relevance
10/15/2026
First Seen
Sources
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Related Claims
VerifiedIn the ReAct framework, when the number of tools exceeds 20, both token consumption and the model's tool selection accuracy drop significantly, a problem known as 'tool overload'.76% similarUnverifiedThe proliferation of tools is one of the primary sources of declining agent reliability.71% similarUnverifiedIn multi-step tasks, tool-call failures accumulate, and a high single-step failure rate causes the overall success rate to decline exponentially.71% similarVerifiedOn convergent tasks, there is a clear performance saturation phenomenon after models reach a certain scale, where continued increases in parameter count or training data yield rapidly diminishing marginal contributions to accuracy.71% similarUnverifiedIncorrect tool selection can lead to longer execution times, higher API costs, and lower task success rates.70% similar
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