They reduce instruction confusion, isolate tool access, and simulate division of labor, leading to more reliable execution.

Typically through a supervisor or orchestrator that captures output from one agent and passes it as context to the next.

Yes, because running multiple agents requires making sequential LLM calls, which increases response times.