List all notebook files in the specified directory.
AI agents call list_notebooks to retrieve information from Python notebook mcp without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs directory listing to retrieve metadata about notebook files. It retrieves information without modifying, deleting, or executing any code. The operation is read-only and has minimal blast radius if misused (at worst, an AI agent would enumerate available notebooks). No data is modified or executed.
From the tool's definition Tool name 'list_notebooks' and description 'List all notebook files in the specified directory' indicate a query/retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access list_notebooks gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Python notebook mcp, and nothing reaches the server without passing your rules. This is the rule we recommend for list_notebooks:
{
"version": "1",
"default": "deny",
"tools": {
"list_notebooks": {}
}
}list_notebooks is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all notebook files in the specified directory. It is categorised as a Read tool in the Python notebook mcp MCP Server, which means it retrieves data without modifying state.
Register the Python notebook MCP server in PolicyLayer and add a rule for list_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 Python notebook mcp. Nothing to install.
list_notebooks is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_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.
Set action: deny in the PolicyLayer policy for list_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.
list_notebooks is provided by the Python notebook MCP server (usamak98/python-notebook-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 9 Python notebook mcp tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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9 Python notebook mcp tools catalogued and risk-classified — across an index of 42,500+ MCP servers.