Low Risk

re_auth

Switch to a different Google account or re-authenticate.

How to control re_auth ↓

AI agents call re_auth to retrieve information from NotebookLM MCP Structured without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Even though re_auth only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Documented attack patterns abuse exactly the kind of access re_auth gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and NotebookLM MCP Structured, and nothing reaches the server without passing your rules. This is the rule we recommend for re_auth:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "re_auth": {}
  }
}

re_auth is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register NotebookLM MCP Structured — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the re_auth tool do? +

Switch to a different Google account or re-authenticate. It is categorised as a Read tool in the NotebookLM MCP Structured MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on re_auth? +

Register the NotebookLM MCP Structured MCP server in PolicyLayer and add a rule for re_auth: 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 Structured. Nothing to install.

What risk level is re_auth? +

re_auth is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit re_auth? +

Yes. Add a rate_limit block to the re_auth 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.

How do I block re_auth completely? +

Set action: deny in the PolicyLayer policy for re_auth. 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.

What MCP server provides re_auth? +

re_auth is provided by the NotebookLM MCP Structured MCP server (paolodalprato/notebooklm-mcp-structured). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every NotebookLM MCP Structured tool call.

Deterministic rules across all 15 NotebookLM MCP Structured tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

15 NotebookLM MCP Structured tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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