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notebook_ask

Ask questions to your NotebookLM notebooks and get answers with source citations. Supports contextual conversations and multiple citation formats.

Instructions

Conversational Research Partner (NotebookLM • Gemini 2.5 • Session RAG)

No Active Notebook

  • Visit https://notebooklm.google to create a notebook and get a share link

  • Use add_notebook to add it to your library (explains how to get the link)

  • Use list_notebooks to show available sources

  • Use select_notebook to set one active

Auth tip: If login is required, use the prompt 'notebooklm.auth-setup' and then verify with the 'get_health' tool. If authentication later fails (e.g., expired cookies), use the prompt 'notebooklm.auth-repair'.

Tip: Tell the user you can manage NotebookLM library and ask which notebook to use for the current task.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesThe question to ask NotebookLM
session_idNoOptional session ID for contextual conversations. If omitted, a new session is created.
notebook_idNoOptional notebook ID from your library. If omitted, uses the active notebook. Use list_notebooks to see available notebooks.
notebook_urlNoOptional notebook URL (overrides notebook_id). Use this for ad-hoc queries to notebooks not in your library.
show_browserNoShow browser window for debugging (simple version). For advanced control (typing speed, stealth, etc.), use browser_options instead.
source_formatNoFormat for source citation extraction (default: none). Options: - none: No source extraction (fastest) - inline: Insert source text inline: "text [1: source excerpt]" - footnotes: Append sources at the end as footnotes - json: Return sources as separate object in response - expanded: Replace [1] with full quoted source text Note: Source extraction adds ~1-2 seconds but does NOT consume additional NotebookLM quota.
browser_optionsNoOptional browser behavior settings. Claude can control everything: visibility, typing speed, stealth mode, timeouts. Useful for debugging or fine-tuning.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
successYesWhether the tool call succeeded.
dataNoThe tool payload on success. The exact shape depends on the tool.
errorNoHuman-readable error message, present only when success is false.
Behavior4/5

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

Annotations indicate it is not read-only, not idempotent, and open-world. The description adds context about browser automation, authentication steps, and the fact that source extraction adds time but not quota. This goes beyond annotations without contradicting them.

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

Conciseness3/5

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

The description is verbose, mixing setup instructions, auth tips, and tool usage into a single block. While structured with headings, it could be more concise by moving general instructions to sibling tool descriptions. Each sentence earns its place, but overall length reduces clarity.

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

Completeness5/5

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

Given the tool's complexity (7 params, nested objects, external service interaction), the description covers setup, parameter behavior, auth, and even includes tips. The output schema is separate, so return values need no explanation. Everything needed for correct invocation is present.

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

Parameters5/5

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

Schema coverage is 100%, but the description adds valuable context: explains source_format options in detail, notes time impact and quota exemption, clarifies session_id and notebook_id defaults, and describes browser_options behavior. This significantly enhances parameter 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 role as a conversational research partner for NotebookLM, and the instructions about notebook setup distinguish it from sibling management tools. However, the purpose is mixed with extensive setup guidance, making it slightly less direct.

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

Usage Guidelines5/5

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

The description explicitly details prerequisites (create notebook via add_notebook, list/select), provides auth tips, and directs users to sibling tools when appropriate (e.g., 'Use add_notebook to add it to your library'). It gives clear guidance on when to use this tool versus alternatives.

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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