Rename a notebook.
AI agents use notebook_rename to create or update resources in NotebookLM MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your NotebookLM MCP Server environment.
This tool modifies notebook properties (the name/title) but does not create new data structures, execute code, delete content, or move money. It is a straightforward metadata update operation, making it a Write action. Severity is low because renaming has minimal blast radius—it does not affect notebook content, access controls, or downstream systems; a user could easily rename it back.
From the tool's definition Tool name 'notebook_rename' and description 'Rename a notebook' indicate modification of metadata. Renaming is a reversible operation that updates notebook attributes without deleting or accessing sensitive data.
Attacks that exploit this kind of access
Rename a notebook. It is categorised as a Write tool in the NotebookLM MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the NotebookLM MCP Server MCP server in PolicyLayer and add a rule for notebook_rename: 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_rename is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the notebook_rename 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_rename. 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_rename 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.
Teams ship this data inside their own products. See what a licence covers →