Monitoring Agents Before They Make Mistakes
stopnet54 · reddit · 2026-07-19
This post introduces a new paper on agent tool-use interpretability: Beyond the Black Box: Interpretability of Agentic AI Tool Use.
The paper focuses not on whether a model can use tools, but on how to monitor and understand what an agent is about to do before it actually acts. The authors emphasize their attempt to use mechanistic interpretability to expose signals related to tool calls, including:
- Which tools are planned to be called
- Which calls might be missed
- Which calls are actually redundant
- Which actions carry higher risk
The title highlights the ultimate application: catching an AI agent before it makes a mistake, rather than fixing it after the fact.
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