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Pantheon-Security

NotebookLM MCP Server (Security Hardened)

Generate Audio

generate_audio_overview

Create AI-generated podcast-style audio summaries for NotebookLM notebooks to provide accessible overviews of research content.

Instructions

Generate an AI-powered audio overview (podcast-style) for a notebook.

What This Tool Does

  • Triggers NotebookLM's audio overview generation

  • Audio overviews are ~5-15 minute podcast-style summaries

  • Generation takes 2-5 minutes typically

  • Returns immediately with status (check with get_audio_status)

Requirements

  • Notebook must have at least one source

  • Audio generation may not be available on all notebooks

Example

{ "notebook_id": "my-research" }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idNoLibrary notebook ID
notebook_urlNoOr direct notebook URL (overrides notebook_id)
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description adds valuable behavioral context beyond annotations: it specifies that generation 'takes 2-5 minutes typically' and 'returns immediately with status (check with get_audio_status)', which are not covered by annotations (e.g., readOnlyHint=false only indicates it's not read-only). It does not contradict annotations, and while it could mention more about error handling or permissions, it provides useful operational details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections ('What This Tool Does', 'Requirements', 'Example'), front-loaded with key information, and every sentence adds value without redundancy. It efficiently covers purpose, behavior, prerequisites, and an example in a compact format.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (asynchronous generation with status checks), no output schema, and rich annotations, the description is mostly complete: it explains the process, timing, and follow-up action. However, it could benefit from mentioning the output format or error cases, but it adequately covers core usage for an agent.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents both parameters (notebook_id and notebook_url) with descriptions. The description does not add meaning beyond the schema, such as explaining parameter interactions or usage nuances, but the baseline is 3 when schema coverage is high.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool 'triggers NotebookLM's audio overview generation' for a notebook, specifying it creates '~5-15 minute podcast-style summaries'. This is a specific verb (generate) + resource (audio overview) + distinguishing detail (podcast-style for notebooks), and it differentiates from siblings like 'generate_video_overview' by focusing on audio.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides clear context for when to use this tool: for generating audio overviews of notebooks, with requirements like 'notebook must have at least one source' and notes that 'audio generation may not be available on all notebooks'. However, it does not explicitly state when not to use it or name alternatives (e.g., 'generate_video_overview' for video summaries), which prevents a score of 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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