authorize_google_drive · Pypi:colab Drive MCP: Risk & Policy

WHAT IT DOES

What authorize_google_drive does on Pypi:colab Drive

AI agents invoke authorize_google_drive to trigger actions in Pypi:colab Drive. 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 authorize_google_drive needs a policy

This tool initiates an OAuth authorization flow and persists the resulting credential token locally. It triggers an external operation (OAuth flow) and writes a token to local storage, which could grant persistent access to Google Drive. The most severe applicable category is Execute, as it runs an external authorization flow with side effects.

From the tool's definition Open an explicit Google OAuth flow and save the resulting local token

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

authorize_google_drive Rate-limited

authorize_google_drive 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": {
    "authorize_google_drive": {
      "limits": [
        {
          "counter": "authorize_google_drive_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 Pypi:colab Drive, so you can run agents against it safely.

FAQ

Questions about authorize_google_drive

What does the authorize_google_drive tool do? +

Open an explicit Google OAuth flow and save the resulting local token. It is categorised as a Execute tool in the Pypi:colab Drive MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on authorize_google_drive? +

Register the Pypi:colab Drive MCP server in PolicyLayer and add a rule for authorize_google_drive: 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 Pypi:colab Drive. Nothing to install.

What risk level is authorize_google_drive? +

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

Can I rate-limit authorize_google_drive? +

Yes. Add a rate_limit block to the authorize_google_drive 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 authorize_google_drive completely? +

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

authorize_google_drive is provided by the Pypi:colab Drive MCP server (yummytastycode/colab-drive-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.