gemini_login · Gemini Cli MCP: Risk & Policy

WHAT IT DOES

What gemini_login does on Gemini Cli

AI agents invoke gemini_login to trigger actions in Gemini Cli. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why gemini_login needs a policy

This tool initiates an OAuth login flow, which is an external operation that interacts with Google's authentication systems. It doesn't merely read data, nor does it write/delete user data directly. It executes an external auth process whose effects (browser redirects, token generation, session creation) depend on the environment.

From the tool's definition 'Initiate login flow' — triggers an external OAuth authentication process involving a Google account

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

gemini_login Rate-limited

gemini_login stays usable, but rate-capped — a runaway agent can't fire it dozens of times 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_login": {
      "limits": [
        {
          "counter": "gemini_login_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about gemini_login

What does the gemini_login tool do? +

Initiate login flow. It is categorised as a Execute tool in the Gemini Cli MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on gemini_login? +

Register the Gemini Cli MCP server in PolicyLayer and add a rule for gemini_login: 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. Nothing to install.

What risk level is gemini_login? +

gemini_login is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit gemini_login? +

Yes. Add a rate_limit block to the gemini_login 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_login completely? +

Set action: deny in the PolicyLayer policy for gemini_login. 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_login? +

gemini_login is provided by the Gemini Cli MCP server (jwcraig/gemini-cli-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.