gemini_chat_save · Gemini CLI MCP Server MCP: Risk & Policy

WHAT IT DOES

What gemini_chat_save does on Gemini CLI MCP Server

AI agents use gemini_chat_save to create or update resources in Gemini CLI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gemini CLI MCP Server environment.

WHY IT NEEDS A POLICY

Why gemini_chat_save needs a policy

This tool creates or modifies persisted chat session data. While the operation is reversible (sessions can be deleted via gemini_delete_session), it commits chat history to storage and could affect subsequent session resumption or access. This is categorized as Write rather than Execute because the effect is data persistence, not code execution or external operation triggering.

From the tool's definition Tool name "gemini_chat_save" and description "Save the current Gemini chat session" indicate data creation/modification. The action persists chat session state to storage, which is a reversible write operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

gemini_chat_save Rate-limited

gemini_chat_save stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gemini_chat_save": {
      "limits": [
        {
          "counter": "gemini_chat_save_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Gemini CLI MCP Server, so you can run agents against it safely.

FAQ

Questions about gemini_chat_save

What does the gemini_chat_save tool do? +

Save the current Gemini chat session. It is categorised as a Write tool in the Gemini CLI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on gemini_chat_save? +

Register the Gemini CLI MCP Server MCP server in PolicyLayer and add a rule for gemini_chat_save: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Gemini CLI MCP Server. Nothing to install.

What risk level is gemini_chat_save? +

gemini_chat_save is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit gemini_chat_save? +

Yes. Add a rate_limit block to the gemini_chat_save rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block gemini_chat_save completely? +

Set action: deny in the PolicyLayer policy for gemini_chat_save. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides gemini_chat_save? +

gemini_chat_save is provided by the Gemini CLI MCP Server MCP server (wminson/gemini_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.