edit_cell_source · MCP Jupyter Complete MCP: Risk & Policy

WHAT IT DOES

What edit_cell_source does on MCP Jupyter Complete

AI agents use edit_cell_source 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_source needs a policy

This tool modifies notebook cell source code, which is a reversible write operation. It does not delete data (Destructive), execute code (Execute), or move money (Financial). However, it has high severity because editing cell source code in a notebook execution context could introduce malicious code that gets executed via execute_cell, or corrupt important analysis workflows.

From the tool's definition Tool name 'edit_cell_source' and description 'Edit the source code of a specific cell by index' indicate modification of notebook cell content.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

edit_cell_source Rate-limited

edit_cell_source 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_source": {
      "limits": [
        {
          "counter": "edit_cell_source_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_source

What does the edit_cell_source tool do? +

Edit the source code of a specific cell by 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_source? +

Register the MCP Jupyter Complete MCP server in PolicyLayer and add a rule for edit_cell_source: 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_source? +

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

Can I rate-limit edit_cell_source? +

Yes. Add a rate_limit block to the edit_cell_source 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_source completely? +

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

edit_cell_source 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.