Iterative Retrieval helps an agent progressively refine context retrieval to solve the subagent context problem in multi-agent workflows. It follows a four-phase loop of dispatching broad queries, evaluating relevance, refining criteria, and looping up to three cycles. Reach for it when subagents encounter missing context, large context limits, or require RAG-like code exploration without guessing upfront.