Docs: Updated tips for max rounds (#9235)

### What problem does this PR solve?

### Type of change

- [x] Documentation Update

docs/guides/agent/agent_component_reference/agent.mdx

@@ -82,7 +82,7 @@ An integer specifying the number of previous dialogue rounds to input into the L
 This feature is used for multi-turn dialogue *only*.
 :::
 
-### Max retrieves
+### Max retries
 
 Defines the maximum number of attempts the agent will make to retry a failed task or operation before stopping or reporting failure.
 
@@ -94,6 +94,10 @@ The waiting period in seconds that the agent observes before retrying a failed t
 
 Defines the maximum number reflection rounds of the selected chat model. Defaults to 5 rounds.
 
+:::tip NOTE
+You can set the value to 1 to shorten your agent's response time.
+:::
+
 ### Output
 
 The global variable name for the output of the **Agent** component, which can be referenced by other components in the workflow.

docs/release_notes.md

@@ -34,7 +34,7 @@ From v0.20.0 onwards, Agents are no longer compatible with earlier versions, and
 
 - Unified orchestration of both Agents and Workflows.
 - A comprehensive refactor of the Agent, greatly enhancing its capabilities and usability, with support for Multi-Agent configurations, planning and reflection, and visual functionalities.
-- Fully realized MCP functionality, allowing for MCP Server import, Agents functioning as MCP Clients, and RAGFlow itself operating as an MCP Server.
+- Fully implemented MCP functionality, allowing for MCP Server import, Agents functioning as MCP Clients, and RAGFlow itself operating as an MCP Server.
 - Access to runtime logs for Agents.
 - Chat histories with Agents available through the management panel.
 - Integration of a new, more robust version of Infinity, enabling the auto-tagging functionality with Infinity as the underlying document engine.
@@ -43,7 +43,7 @@ From v0.20.0 onwards, Agents are no longer compatible with earlier versions, and
 - RAGFlow’s codebase is now mirrored on Gitee.
 - Introduction of a new model provider, Gitee AI.
 
-### New agent templates
+### New agent templates introduced
 
 - Multi-Agent based Deep Research: Collaborative Agent teamwork led by a Lead Agent with multiple Subagents, distinct from traditional workflow orchestration.
 - An intelligent Q&A chatbot leveraging internal knowledge bases, designed for customer service and training scenarios.