add_local_cell · Pypi:colab Drive MCP: Risk & Policy

WHAT IT DOES

What add_local_cell does on Pypi:colab Drive

AI agents use add_local_cell 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 add_local_cell needs a policy

Adding a cell to a notebook creates new data/content within the notebook structure. This is a Write operation because it modifies the notebook reversibly—cells can be deleted or edited later. It does not execute code (Execute category), permanently destroy data (Destructive), or involve financial transactions (Financial).

From the tool's definition Tool name is 'add_local_cell' and description states it 'Add a cell to a local notebook.' This modifies notebook content by inserting new cells, which is a reversible write operation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

add_local_cell Rate-limited

add_local_cell 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": {
    "add_local_cell": {
      "limits": [
        {
          "counter": "add_local_cell_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 add_local_cell

What does the add_local_cell tool do? +

Add a cell to a local notebook. 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 add_local_cell? +

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

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

Can I rate-limit add_local_cell? +

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

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

add_local_cell 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.