I want to give an agent more autonomy, as long as it works within a clear limit and, when it hits that limit, leaves me a task I can resume. That is work for whoever sets up the workflow: explaining where the agent can keep going alone and what it does when it has to stop.
On July 28, Google announced Managed Agents controls in the Gemini API, including hooks for inspecting calls and budget limits. I like seeing those decisions in configuration, where the limit is visible. But whoever delegates still has to define what the agent does when the budget runs out.
Before handing off a long job, I want to know what is left when it gets interrupted. Did the agent produce something useful? Did it explain what it already checked? Can another run pick up from there? Cutting off calls ends the spending on that attempt, but the accumulated work has to stay understandable, or there is nothing to resume.
Hooks interest me because they let me examine an action before it happens and compare it with the scope. That needs a clear rule. A control on top of vague guidance only moves the uncertainty somewhere else. Somebody still needs to explain which decision the hook can make.
Within an authorized request, I expect the agent to resolve what it can already resolve. Calling me at every predictable step makes delegation tiring; when a decision depends on me, I want it stated precisely. The limit should separate these cases in a way the agent can apply, and the budget should relate to the task and to the partial result that would still be useful. A number picked just to fill in the configuration does neither. I prefer to start with a small job and trigger the interruption on purpose, so I see how the system stops before I depend on it for work that is hard to rebuild.
That is the first test I want to run with these controls: hit the limit and check that the task leaves readable state, with the reason for stopping identified. A generic failure does not help me decide whether to continue or rewrite the request.