Artificial intelligence agent delegation lets one agent assign a specific piece of work to another agent. A sound handoff describes the objective, available evidence, permitted tools, resource limits, expected output, and the conditions for returning control. Delegation can exploit specialization or increase parallelism.
Authority should not expand merely because a task was delegated. The receiving agent needs clear permission boundaries, while the delegating agent or orchestrator should validate the result before depending on it. Recursive delegation also needs depth, budget, and lifecycle limits to prevent uncontrolled chains of work.
What information should an agent delegation include?
It should include the task objective, relevant context, allowed tools, authority limits, resource budget, expected evidence, and a clear completion condition.
Why can recursive agent delegation be risky?
Repeated handoffs can obscure responsibility, multiply costs, broaden access, and make it difficult to trace which agent introduced an error or decision.
