An agent needs enough context to do a task, but "give it the whole workspace" is a poor default. Imagine a user asks for a project update. The relevant information might be a brief, three recent decis
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Most agent bugs I hit are really tool description bugs. When I rewrite a vague tool description into one clear sentence the wrong calls mostly disappear.
Kartik N V J K
AI Developer | Making AI reliable, trustworthy & accessible to everyone | Active community contributor
This is the right framing: the failure is that the output looks fine while the permission model is quietly wrong, which is the hardest kind of bug to catch because nothing actually errors. Modeling a request as an action with a purpose, allowed sources, and recipient constraints is what I have found actually scopes an agent, far more than handing it the whole workspace and hoping. In the four-layer model, which layer ends up owning the deny decision when purpose and identity disagree?