arXiv:2610.40975v1 Announce Type: new Abstract: When several tools can complete a task, an agent that picks the most powerful one holds more authority than the task needs. Recent work demonstrates that language-model agents do this often, and more so after a tool fails. Approaches to restrict focus so far on either enforcing least privilege outside the model or retraining the model.
Does Showing Agents the Privilege of Their Tools Reduce Over-Privileged Tool Selection?
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