Get AI-generated source summary with keyword chips.
AI agents call source_describe 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 is a read-only operation that queries and summarizes information from an already-added source. The AI generates descriptive metadata (summary and keywords) without modifying the source, creating side effects, or enabling code execution. The worst-case misuse scenario is retrieving unwanted information, which has minimal blast radius.
From the tool's definition Tool performs AI-generated summarization of a source with keyword extraction ('source summary with keyword chips'). No creation, modification, deletion, or execution of external operations. Purely retrieves and analyzes existing source content.
Attacks that exploit this kind of access
Get AI-generated source summary with keyword chips. 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 source_describe: 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.
source_describe 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 source_describe 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 source_describe. 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.
source_describe 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 →