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To Call or Not to Call: Diagnosing Intrinsic Over-Calling Bias in LLM Agents
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers identify an intrinsic tool over-calling bias in LLM agents using the When2Call benchmark, reducing overall accuracy.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 7 October 2026
- Collected by OneBench
- 8 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2605.18882v2 Announce Type: replace Abstract: LLM agents exhibit a consistent tendency to over-call, invoking tools even in situations where none is needed. On the When2Call…
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