Get the chat history for a notebook.
AI agents call chat_history 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 existing chat history data from a notebook without creating, modifying, deleting, executing code, or committing financial actions. It is a straightforward read operation that queries and returns information.
From the tool's definition Tool name 'chat_history' and description 'Get the chat history for a notebook' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get the chat history for a notebook. 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 chat_history: 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.
chat_history 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 chat_history 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 chat_history. 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.
chat_history is provided by the NotebookLM MCP Server MCP server (pavelguzenfeld/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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