Skip to main content
Glama
set2374

NotebookLM MCP Server

by set2374

audio_overview_create

Create audio summaries of NotebookLM research content in multiple formats and languages to help users review key insights from their notebooks.

Instructions

Generate audio overview. Requires confirm=True after user approval.

Args: notebook_id: Notebook UUID source_ids: Source IDs (default: all) format: deep_dive|brief|critique|debate length: short|default|long language: BCP-47 code (en, es, fr, de, ja) focus_prompt: Optional focus text confirm: Must be True after user approval

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes
source_idsNo
formatNodeep_dive
lengthNodefault
languageNoen
focus_promptNo
confirmNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries the full burden. It discloses the confirm requirement, which is a behavioral trait (safety mechanism). However, it lacks details on what the tool actually does (e.g., generates audio from notebook sources, potential side effects like creating a new resource, permissions needed, or rate limits). For a tool with no annotations, this is insufficient.

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

Conciseness4/5

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

The description is well-structured with a purpose statement followed by an Args section. It's appropriately sized (two sentences plus parameter list) and front-loaded with the key requirement. Every sentence earns its place, though the parameter list could be more concise (e.g., merging some explanations).

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

Completeness3/5

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

Given 7 parameters, 0% schema coverage, no annotations, but an output schema exists, the description is moderately complete. It covers all parameters briefly and includes a key behavioral trait (confirm requirement). However, for a tool that likely creates a new resource (implied by 'create' in the name), it lacks details on output format, error conditions, or dependencies, relying on the output schema for return values.

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 0%, so the description must compensate. It lists all 7 parameters with brief explanations (e.g., 'Notebook UUID', 'Source IDs (default: all)'), adding meaning beyond the bare schema. However, it doesn't fully explain parameter interactions (e.g., how source_ids interacts with notebook_id) or provide examples, leaving gaps in understanding.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Generate audio overview.' It specifies the resource (audio overview) and verb (generate), making it distinct from sibling tools like video_overview_create. However, it doesn't explicitly differentiate from other content-generation tools like report_create or slide_deck_create beyond the audio format.

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 usage context: 'Requires confirm=True after user approval.' This indicates when to use the tool (after user approval) and implies a safety mechanism. However, it doesn't specify when to choose this tool over alternatives like video_overview_create or other content-generation tools, nor does it mention prerequisites beyond user approval.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/set2374/notebooklm-mcp-archived'

If you have feedback or need assistance with the MCP directory API, please join our Discord server