SOURCE-LINKED INTELLIGENCE
When Tool Outputs Become Commands: Separating Action Induction from Runtime Authorization in Tool-Augmented LLM Agents
Tool-augmented LLM agents must rely on untrusted runtime Observations to complete open-ended tasks; however, when tool outputs no longer merely provide data but begin to specify concrete actions, they effectively become ``commands'' that can drive real-world side effects beyond user intent. We argue that this risk arises from conflating action induction with execution authorization. To address this distinction, we propose SARA, which treats action induction and execution authorization as distinct runtime roles and separates action provenance from execution authority. On the Observation side, a
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T13:59:04.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.