edit_cell · MCP Jupyter Complete MCP: Risk & Policy

WHAT IT DOES

What edit_cell does on MCP Jupyter Complete

AI agents use edit_cell to create or update resources in MCP Jupyter Complete — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your MCP Jupyter Complete environment.

WHY IT NEEDS A POLICY

Why edit_cell needs a policy

The tool modifies existing cell source code, which is a reversible change (can be undone or edited again). It does not execute code (that is `execute_cell`), delete cells (that is `delete_cell`), or move cells (that is `move_cell`).

From the tool's definition Tool name 'edit_cell' and description 'Edit the source code of a specific cell' indicate modification of notebook cell content. This is a Write operation as it creates or modifies data reversibly within a Jupyter notebook.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

edit_cell Rate-limited

edit_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": {
    "edit_cell": {
      "limits": [
        {
          "counter": "edit_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 MCP Jupyter Complete, so you can run agents against it safely.

FAQ

Questions about edit_cell

What does the edit_cell tool do? +

Edit the source code of a specific cell by ID or index. It is categorised as a Write tool in the MCP Jupyter Complete MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on edit_cell? +

Register the MCP Jupyter Complete MCP server in PolicyLayer and add a rule for edit_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 MCP Jupyter Complete. Nothing to install.

What risk level is edit_cell? +

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

Can I rate-limit edit_cell? +

Yes. Add a rate_limit block to the edit_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 edit_cell completely? +

Set action: deny in the PolicyLayer policy for edit_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 edit_cell? +

edit_cell is provided by the MCP Jupyter Complete MCP server (tofunori/mcp-jupyter-complete). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.