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This paper introduces Minim, a trusted local broker that performs privacy-aware minimization of UI observations for LLM-powered agents, using contextual integrity to balance task necessity and sensitivity scores. Experiments on WebArena show it reduces irrelevant sensitive leakage while preserving task-critical information.