Configure notebook chat settings.
AI agents use chat_configure 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 chat settings, which is a reversible configuration change (Write category). It does not execute arbitrary code, delete data irreversibly, or involve financial transactions. The severity is low because changing chat settings has limited blast radius—worst case would be misconfigured notification preferences or chat behaviors, which are easily reversible.
From the tool's definition Tool name 'chat_configure' and description 'Configure notebook chat settings' indicate modification of configuration settings rather than data creation, deletion, or execution of external operations.
Attacks that exploit this kind of access
Configure notebook chat settings. 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 chat_configure: 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_configure 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 chat_configure 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_configure. 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_configure 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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