
Give an AI agent a stopping rule before giving it another tool
An agent becomes operationally useful when it can take a defined sequence of actions.
Assistants that use tools and carry out steps: task boundaries, permissions, approval points and recovery when actions go wrong.

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Artificial intelligence agents combine model output with tools, permissions and a sequence of actions. Our coverage looks at how work is delegated, how exceptions are handled and where human approval belongs. The emphasis is on understandable workflows and accountable action rather than the number of steps a demonstration can complete.
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An agent becomes operationally useful when it can take a defined sequence of actions.

Agent evaluations often show the ideal path through a task.