ipynb_apply_to_notebooks · Jupyter Editor MCP: Risk & Policy

WHAT IT DOES

What ipynb_apply_to_notebooks does on Jupyter Editor

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

WHY IT NEEDS A POLICY

Why ipynb_apply_to_notebooks needs a policy

The tool name suggests applying some operation across multiple notebooks in batch. Given the server context includes tools ranging from read to destructive operations, 'apply_to_notebooks' likely applies a transformation or modification across multiple files. With an empty description, I cannot determine exactly what is applied, but the batch scope increases blast radius.

From the tool's definition Tool name 'ipynb_apply_to_notebooks' and server description mentions 'batch-processing notebooks'; description is empty/uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

ipynb_apply_to_notebooks Rate-limited

ipynb_apply_to_notebooks 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": {
    "ipynb_apply_to_notebooks": {
      "limits": [
        {
          "counter": "ipynb_apply_to_notebooks_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 Jupyter Editor, so you can run agents against it safely.

FAQ

Questions about ipynb_apply_to_notebooks

What does the ipynb_apply_to_notebooks tool do? +

ipynb_apply_to_notebooks. It is categorised as a Write tool in the Jupyter Editor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on ipynb_apply_to_notebooks? +

Register the Jupyter Editor MCP server in PolicyLayer and add a rule for ipynb_apply_to_notebooks: 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 Jupyter Editor. Nothing to install.

What risk level is ipynb_apply_to_notebooks? +

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

Can I rate-limit ipynb_apply_to_notebooks? +

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

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

ipynb_apply_to_notebooks is provided by the Jupyter Editor MCP server (jsamuel1/jupyter-editor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.