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notebook.list

Read-onlyIdempotent

Scrape NotebookLM homepage to retrieve notebook IDs and names. Discover, verify, or clean up notebooks in your account.

Instructions

Scrape the NotebookLM homepage to get a real list of all notebooks with their IDs and names.

This tool navigates to notebooklm.google.com and extracts:

  • Notebook ID (UUID from URL)

  • Notebook name (displayed title)

  • Notebook URL

Use this to:

  • Discover notebooks not yet in your library

  • Get accurate notebook IDs for automation

  • Verify which notebooks exist in your account

  • Find notebooks to delete when cleanup is needed

Note: Requires authentication. Run setup_auth first if not authenticated.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
show_browserNoShow browser window during scraping. Default: false (headless).

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.
Behavior5/5

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

The description goes beyond annotations by disclosing that the tool scrapes a web page (implying network calls), requires authentication, and references setup_auth. This adds significant behavioral context beyond the readOnlyHint and idempotentHint annotations.

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 concise (~130 words) with a clear structure: core action, extracted data, use cases, and a note on authentication. No redundant sentences.

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 has only one optional parameter, annotations, and an output schema exists, the description fully covers purpose, usage, and prerequisites (authentication). No gaps.

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?

With 100% schema coverage, the description adds no additional meaning to the single parameter show_browser beyond what the schema provides. Baseline score of 3 is appropriate.

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 scrapes the NotebookLM homepage to list notebooks with IDs and names, using specific verbs like 'scrape' and 'get'. It distinguishes itself from sibling tools like library.list by focusing on real-time scraping of the homepage.

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 explicitly lists use cases (discover notebooks, get IDs, verify existence, find deletions) and mentions authentication requirement. It does not explicitly state when not to use, but the bullet points provide clear guidance.

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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