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papersTODAY 04:00 UTC

Study finds tool-using AI agents fabricate values when tools fail

A new arXiv paper examines what tool-augmented language models do when a tool call fails to return usable information, rather than focusing only on whether they reach the correct answer. The authors built a benchmark of 1,024 items spanning 16 internal systems to isolate this post-failure decision point. They find that agents tend to assert values their tools never returned instead of reporting the failure honestly.

arXiv AI agents AI reliability ai-hallucination language-model-evaluation tool-use

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.CLFabrication After Tool Failure: Tool-Augmented Agents Assert Values Their Tools Did Not Return ↗TODAY 04:00 UTC