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studio_create

Generate any NotebookLM studio artifact from your notebook: audio podcasts, video overviews, infographics, slide decks, reports, flashcards, quizzes, data tables, or mind maps.

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 mentions the confirm parameter must be True after user approval, indicating a need for user interaction, but lacks details on authentication, rate limits, or side effects. The description adds some behavioral context but not comprehensively.

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 sections for args, type-specific options, common options, and an example. It is front-loaded with purpose and is efficient, though slightly verbose in places.

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 22 parameters and an output schema exists, the description covers all necessary information: parameter explanations, type-specific options, and examples. It is complete for an AI agent to use correctly.

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 description coverage is 0%, so the description provides all parameter meaning. It explains each parameter, including type-specific options, defaults, and an example, adding substantial value beyond the bare 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 provides a verb (create) and resource (studio artifact). It lists all supported artifact types, 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 Guidelines4/5

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

The description provides detailed usage context for each artifact type and their parameters, but it does not explicitly state when not to use this tool or compare it to siblings. The context is clear, but exclusions are missing.

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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