Get AI-generated notebook summary with suggested topics.
AI agents call notebook_describe to retrieve information from NotebookLM MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and summarizes existing notebook content using AI analysis. It does not create, modify, delete, or execute operations with external side effects. The action is purely informational—fetching and presenting a summary of data already stored in the notebook. This is a classic Read operation with minimal risk, as it only accesses and formats existing information.
From the tool's definition Tool name 'notebook_describe' and description 'Get AI-generated notebook summary with suggested topics' indicate retrieval and querying of existing notebook data to generate a summary.
Attacks that exploit this kind of access
Get AI-generated notebook summary with suggested topics. It is categorised as a Read tool in the NotebookLM MCP Server MCP Server, which means it retrieves data without modifying state.
Register the NotebookLM MCP Server MCP server in PolicyLayer and add a rule for notebook_describe: 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 NotebookLM MCP Server. Nothing to install.
notebook_describe 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 notebook_describe 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 notebook_describe. 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.
notebook_describe is provided by the NotebookLM MCP Server MCP server (ran-ai-agency/notebooklm-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the 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.
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