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studio_create

Generates NotebookLM artifacts including audio overviews, videos, infographics, slide decks, reports, flashcards, quizzes, data tables, and mind maps from your notebook sources, with options for format, style, and language.

Instructions

Create any NotebookLM studio artifact. Unified creation tool.

Supports: audio, video, infographic, slide_deck, report, flashcards, quiz, data_table, mind_map

Args: notebook_id: Notebook UUID artifact_type: Type of artifact to create: - audio: Audio Overview (podcast) - video: Video Overview - infographic: Visual infographic - slide_deck: Presentation slides (PDF) - report: Text report (Briefing Doc, Study Guide, etc.) - flashcards: Study flashcards - quiz: Multiple choice quiz - data_table: Structured data table - mind_map: Visual mind map source_ids: Source IDs to use (default: all sources) confirm: Must be True after user approval

Type-specific options:
- audio: audio_format (deep_dive|brief|critique|debate), audio_length (short|default|long)
- video: video_format (explainer|brief|cinematic|short), visual_style (auto_select|custom|classic|whiteboard|kawaii|anime|watercolor|retro_print|heritage|paper_craft; not for cinematic/short), video_style_prompt
- infographic: orientation (landscape|portrait|square), detail_level (concise|standard|detailed), infographic_style (auto_select|sketch_note|professional|bento_grid|editorial|instructional|bricks|clay|anime|kawaii|scientific)
- slide_deck: slide_format (detailed_deck|presenter_slides), slide_length (short|default)
- report: report_format (Briefing Doc|Study Guide|Blog Post|Create Your Own), custom_prompt
- flashcards: difficulty (easy|medium|hard)
- quiz: question_count (int), difficulty (easy|medium|hard)
- data_table: description (required)
- mind_map: title

Common options:
- language: BCP-47 code (en, es, fr, de, ja). Defaults to NOTEBOOKLM_HL env var or 'en'
- focus_prompt: Optional focus text

Example: studio_create(notebook_id="abc", artifact_type="audio", confirm=True) studio_create(notebook_id="abc", artifact_type="quiz", question_count=5, confirm=True)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoMind Map
confirmNo
languageNo
difficultyNomedium
source_idsNo
descriptionNo
notebook_idYes
orientationNolandscape
audio_formatNodeep_dive
audio_lengthNodefault
detail_levelNostandard
focus_promptNo
slide_formatNodetailed_deck
slide_lengthNodefault
video_formatNoexplainer
visual_styleNoauto_select
artifact_typeYes
custom_promptNo
report_formatNoBriefing Doc
question_countNo
infographic_styleNoauto_select
video_style_promptNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must carry the burden. It discloses that artifacts are created, requires user approval via confirm, and shows default source behavior. However, it does not detail side effects, idempotency, or whether the operation is synchronous.

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 short intro, artifact type list, type-specific options, common options, and an example. It is front-loaded but slightly lengthy; however, every section adds value given the tool's complexity.

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?

Despite the tool's complexity (22 parameters), the description covers input parameters thoroughly and includes an example. An output schema exists, so return values are not required. Missing behavioral context like error handling or async behavior prevents a higher score.

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?

The input schema has 0% description coverage, so the description fully explains all parameters, including type-specific options (e.g., audio_format, video_format) and common options like language and focus_prompt. It adds significant meaning beyond the schema.

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 'Create any NotebookLM studio artifact' and lists all supported artifact types (audio, video, infographic, etc.). It uses a specific verb and resource, distinguishing it from sibling tools like studio_delete and studio_revise.

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

Usage Guidelines3/5

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

The description implies it is the unified creation tool but does not explicitly state when to use it versus alternatives like studio_revise. It mentions the confirm parameter requiring user approval but lacks explicit when-to-use or when-not-to-use 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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