oa-prompting-delegation

Effective task delegation evaluates task scope to decide between inline execution or agent delegation, then selects an optimal structure like parallel, swarm, or pipeline. This optimizes efficiency and manages dependencies for complex multi-agent systems.

Multi-agent orchestration is needed for complex tasks involving multiple files and external research. Evaluating task scope helps determine when to spawn specialized agents to manage dependencies, rather than attempting simpler inline execution.

The best way to structure parallel agents and research swarms is to evaluate task scope and select an optimal delegation strategy. This ensures each specialized agent has a clear scope and dependencies are managed within the pipeline.

No, AI agents cannot perform tasks requiring live MCP access. The delegation framework enforces critical rules against assigning tasks that need live MCP access or involve nested agent calls to avoid execution failures.

Nested agent calls are prohibited in task orchestration. Attempting to nest agents creates execution pitfalls, so the delegation framework enforces rules against nesting to maintain workflow stability and prevent recursive delegation failures.