pull_drive_notebook

Synchronize a Drive notebook file into COLAB_MCP_ROOT without executing it.

Server Pypi:colab Drive yummytastycode/colab-drive-mcp
Category Read
Risk class Low
Parameters 00 required

What pull_drive_notebook does on Pypi:colab Drive

AI agents call pull_drive_notebook to retrieve information from Pypi:colab Drive without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why pull_drive_notebook needs a policy

This tool fetches notebook data from Google Drive and stores it locally. It performs no code execution (explicitly stated), makes no modifications to the Drive notebook itself, and cannot delete or create financial obligations.

From the tool's definition Tool description states 'Synchronize a Drive notebook file into COLAB_MCP_ROOT without executing it.' The explicit exclusion of execution and the use of 'synchronize' (a unidirectional copy operation) indicates this retrieves/downloads notebook data from…

Questions about pull_drive_notebook

What does the pull_drive_notebook tool do? +

Synchronize a Drive notebook file into COLAB_MCP_ROOT without executing it. It is categorised as a Read tool in the Pypi:colab Drive MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on pull_drive_notebook? +

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

pull_drive_notebook is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit pull_drive_notebook? +

Yes. Add a rate_limit block to the pull_drive_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 pull_drive_notebook completely? +

Set action: deny in the PolicyLayer policy for pull_drive_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 pull_drive_notebook? +

pull_drive_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.

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