get_notebook_sync_status

Compare Drive and local notebook state; cannot detect Colab runtime activity.

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

What get_notebook_sync_status does on Pypi:colab Drive

AI agents call get_notebook_sync_status 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 get_notebook_sync_status needs a policy

This tool queries and compares notebook states between Drive and local storage without creating, modifying, deleting, or executing operations. It has no side effects and returns informational data only, making it a straightforward Read operation with minimal risk if misused by an agent.

From the tool's definition Tool performs comparison and state inspection ('Compare Drive and local notebook state') without modifying data. The term 'get' and 'status' indicate read-only retrieval.

Questions about get_notebook_sync_status

What does the get_notebook_sync_status tool do? +

Compare Drive and local notebook state; cannot detect Colab runtime activity. 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 get_notebook_sync_status? +

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

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

Can I rate-limit get_notebook_sync_status? +

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

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

get_notebook_sync_status 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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