get_notebook_directory

Get the current working directory for notebook operations.

Server JupyterMCP try3d/jupytermcp
Category Read
Risk class Low
Parameters 00 required

What get_notebook_directory does on JupyterMCP

AI agents call get_notebook_directory to retrieve information from JupyterMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Why get_notebook_directory needs a policy

This tool queries state (the current working directory) without modifying, executing, or deleting anything. It is a simple read operation that returns information for informational purposes only. Low severity because knowing a directory path poses minimal risk even if misused by an agent.

From the tool's definition Tool name 'get_notebook_directory' and description 'Get the current working directory' indicate a retrieval operation with no side effects.

Questions about get_notebook_directory

What does the get_notebook_directory tool do? +

Get the current working directory for notebook operations. It is categorised as a Read tool in the JupyterMCP MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_notebook_directory? +

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

What risk level is get_notebook_directory? +

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

Can I rate-limit get_notebook_directory? +

Yes. Add a rate_limit block to the get_notebook_directory 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_directory completely? +

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

get_notebook_directory is provided by the Jupyter MCP server (try3d/jupytermcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER SERVER

Every MCP server has a record like this.

Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.