push_local_notebook · Pypi:colab Drive MCP: Risk & Policy

WHAT IT DOES

What push_local_notebook does on Pypi:colab Drive

AI agents use push_local_notebook to create or update resources in Pypi:colab Drive — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pypi:colab Drive environment.

WHY IT NEEDS A POLICY

Why push_local_notebook needs a policy

This tool creates or modifies data (notebook files on Google Drive) in a reversible manner. It is a Write operation rather than Read (it changes state), Execute (it does not run code), or Destructive (the changes can be overwritten by subsequent pushes or edits).

From the tool's definition Tool description states 'Synchronize a local notebook file to Drive' — this modifies/updates notebook content on Google Drive.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

push_local_notebook Rate-limited

push_local_notebook 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": {
    "push_local_notebook": {
      "limits": [
        {
          "counter": "push_local_notebook_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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 push_local_notebook

What does the push_local_notebook tool do? +

Synchronize a local notebook file to Drive without executing it. It is categorised as a Write tool in the Pypi:colab Drive MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on push_local_notebook? +

Register the Pypi:colab Drive MCP server in PolicyLayer and add a rule for push_local_notebook: 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 push_local_notebook? +

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

Can I rate-limit push_local_notebook? +

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

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

push_local_notebook 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.