Generate a structured Data Table from notebook sources. ## What This Tool Does - Opens the Studio panel in NotebookLM - Generates a structured tabular extraction from notebook content - Tables organize key information from sources into rows and columns - Generation typically takes 1-3 minutes - ...
Part of the Notebooklm MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents use generate_data_table to create or modify resources in Notebooklm. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.
Without a policy, an AI agent could call generate_data_table repeatedly, creating or modifying resources faster than any human could review. Intercept's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Notebooklm.
Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.
tools:
generate_data_table:
rules:
- action: allow
rate_limit:
max: 30
window: 60See the full Notebooklm policy for all 31 tools.
Agents calling write-class tools like generate_data_table have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Write risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
Generate a structured Data Table from notebook sources. ## What This Tool Does - Opens the Studio panel in NotebookLM - Generates a structured tabular extraction from notebook content - Tables organize key information from sources into rows and columns - Generation typically takes 1-3 minutes - Returns immediately with status (check with get_data_table) ## Requirements - Notebook must have at least one source - Authentication required (run setup_auth first) ## Example ```json { "notebook_id": "my-research" } ```. It is categorised as a Write tool in the Notebooklm MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Add a rule in your Intercept YAML policy under the tools section for generate_data_table. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Notebooklm MCP server.
generate_data_table 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 generate_data_table rule in your Intercept 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 Intercept policy for generate_data_table. 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.
generate_data_table is provided by the Notebooklm MCP server (@pan-sec/notebooklm-mcp). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Open source. One binary. Zero dependencies.
npx -y @policylayer/intercept