TBNAI
Judged Useless, Queried Anyway: Tool-Using Agents Rarely Turn Their Own Evidence Judgments into Stopping Decisions
Publication: Hugging Face Daily Papers
Author: Not available in collected metadata
Source published: 04/10/2026, 20:00:00 UTC
Briefing created: 25/10/2026, 00:41:32 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 07/10/2026, 03:18:24 UTC.
Briefings
A study of seven retrieval agents in a controlled environment found that agents consistently judge failing sources as useless (97-100% accuracy) but rarely stop their execution when this judgment occurs. The research demonstrates a dissociation between evidence evaluation and stopping decisions, showing that stopping behavior is driven by factors like budget constraints, memory permissions, and prompt rules rather than the agent's own evidence judgments. This finding suggests that standard stopping mechanisms fail to adapt to the specific failure patterns of retrieved tools.
Key points
- Seven agents consistently judge failing sources as useless 97-100% of the time in a controlled retrieval environment.
- Despite these high judgments, most agents rarely stop execution when they receive a failing source judgment, indicating a disconnect between evaluation and action.
Context
This research investigates how agents handle tool failures in retrieval systems. The study uses a controlled environment with specific failure patterns to isolate the relationship between evidence evaluation and stopping behavior, revealing that standard stopping rules do not effectively adapt to the unique failure characteristics of retrieved tools.
Limitations
The study is limited to seven agents in a controlled environment with specific failure patterns. The dissociation between evidence evaluation and stopping behavior is observed in this specific setup, and the pre-registered replication on 300 fresh questions confirms the findings but does not generalize to all agents or failure types.
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