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Paper · arXiv

From Evidence to Action: How Tool-Using Agents Fail

Tool-using agents make consequential changes to external state, yet correct outcomes do not guarantee that their actions were supported by evidence established beforehand. We study where this evidence-to-action chain breaks as agents move from deciding whether to act to executing single actions and dependent workflows. Across ten model-harness configurations, strong static action assessment can coexist with much weaker interactive execution. Failures often begin before execution: agents stop with incomplete investigation or act before required evidence is established. Once required evidence is obtained, single-action execution is usually reliable, while multi-action workflows additionally...

AuthorsHongzhan Lin, Shidong Cao, Ziyang Luo et al.
Primary categorycs.CL
Published6 October 2026
Last updated at source6 October 2026
cs.CLcs.AI
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