AI agents call refresh_auth as a supporting operation in Notebooklm workflows.
This tool reloads authentication cookies from disk storage into memory. It does not read user data, write/modify data, execute code, destroy data, or move money. It is an authentication/session management operation that refreshes in-memory credentials from an existing file — a maintenance action that doesn't fit cleanly into the primary categories.
From the tool's definition Reload authentication cookies from disk
Documented attack patterns abuse exactly the kind of access refresh_auth gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Notebooklm, and nothing reaches the server without passing your rules. This is the rule we recommend for refresh_auth:
{
"version": "1",
"default": "deny",
"tools": {
"refresh_auth": {
"limits": [
{
"counter": "refresh_auth_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} refresh_auth gets a rate cap, and everything else on the server is denied unless you say otherwise.
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Reload authentication cookies from disk. Run. It is categorised as a Other tool in the Notebooklm MCP Server, which means it performs auxiliary operations.
Register the Notebooklm MCP server in PolicyLayer and add a rule for refresh_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. Nothing to install.
refresh_auth is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the refresh_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.
Set action: deny in the PolicyLayer policy for refresh_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.
refresh_auth is provided by the Notebooklm MCP server (moodrobotics/notebooklm-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Notebooklm, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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29 Notebooklm tools catalogued and risk-classified — across an index of 43,000+ MCP servers.