diff --git a/agentic_ai/agents/agent_framework/STATE_MANAGEMENT.md b/agentic_ai/agents/agent_framework/STATE_MANAGEMENT.md
index f58c4be8b..c4b1d2923 100644
--- a/agentic_ai/agents/agent_framework/STATE_MANAGEMENT.md
+++ b/agentic_ai/agents/agent_framework/STATE_MANAGEMENT.md
@@ -408,7 +408,7 @@ class SessionMemoryCheckpointStorage(CheckpointStorage):
 
 2. **Team agent**  
    - `MagenticOrchestratorExecutor` automatically snapshots each participant’s `chat_history`.
-   - Checkpoints include outstanding tool requests (`RequestInfoExecutor` state).
+   - Checkpoints include outstanding tool requests and plan-review state managed by the orchestrator via `WorkflowEvent(type="request_info")`.
    - Ensure all custom executors implement `restore_state` to interpret snapshots after schema changes.
 
 3. **Human-in-the-loop**  
diff --git a/agentic_ai/agents/agent_framework/multi_agent/MAGENTIC_README.md b/agentic_ai/agents/agent_framework/multi_agent/MAGENTIC_README.md
index a6641d92c..5f997c725 100644
--- a/agentic_ai/agents/agent_framework/multi_agent/MAGENTIC_README.md
+++ b/agentic_ai/agents/agent_framework/multi_agent/MAGENTIC_README.md
@@ -128,7 +128,7 @@ When stalling, the manager calls `replan()`, which uses [`ORCHESTRATOR_TASK_LEDG
 1. Registers **participants** (`participants()`), each either a `BaseAgent` or another `Executor`.
 2. Configures the **manager** (`with_standard_manager()`).
 3. Optionally enables **plan review**, **checkpointing**, and **unified callbacks**.
-4. Builds a [`Workflow`](reference/agent-framework/python/packages/main/agent_framework/_workflow/_workflow.py) graph: orchestrator (start node), optional `RequestInfoExecutor` for plan review, and bidirectional edges to each agent executor.
+4. Builds a [`Workflow`](reference/agent-framework/python/packages/main/agent_framework/_workflow/_workflow.py) graph: orchestrator (start node) with optional plan review enabled via `enable_plan_review=True`, and bidirectional edges to each agent executor. Plan review is handled internally by the orchestrator, which emits `WorkflowEvent(type="request_info")` events containing `MagenticPlanReviewRequest` data.
 
 ### 4.2 Workflow Context & State