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studio_create

Creates various studio artifacts from a NotebookLM notebook, including audio overviews, videos, infographics, slide decks, reports, flashcards, quizzes, data tables, and mind maps.

Instructions

Create any NotebookLM studio artifact. Unified creation tool.

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

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleNoMind Map
confirmNoMust be True after user approval
languageNo
difficultyNomedium
source_idsNoSource IDs to use (default: all sources)
descriptionNo
notebook_idYesNotebook UUID
orientationNolandscape
audio_formatNodeep_dive
audio_lengthNodefault
detail_levelNostandard
focus_promptNo
slide_formatNodetailed_deck
slide_lengthNodefault
video_formatNoexplainer
visual_styleNoauto_select
artifact_typeYesType 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
custom_promptNo
report_formatNoBriefing Doc
question_countNo
infographic_styleNoauto_select
video_style_promptNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description bears full burden. It only says 'Create', missing behavioral details like idempotency, side effects (e.g., does it overwrite?), or required confirm parameter. Minimal transparency.

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?

Three sentences, front-loaded with purpose and supported types. Efficient but could include more detail on parameters without becoming overly long.

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

Completeness2/5

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

With 22 parameters, many undocumented, and output schema present but not described, the description is too sparse to fully guide an agent. Lacks explanation of return values or required parameter interactions.

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

Parameters2/5

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

Schema coverage is only 18%; description adds artifact_type semantics but fails to explain most of the 22 parameters (e.g., format, length, style prompts). Many parameters remain opaque.

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, making the purpose unambiguous and distinguishing from siblings like studio_delete or 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 Guidelines2/5

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

No guidance on when to use this tool vs siblings (e.g., studio_revise, studio_delete) or any prerequisites. The description simply states what it does without context for appropriate usage.

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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