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audio_overview_create

Generate audio summaries from NotebookLM notebooks in various formats and lengths to help users review content through spoken overviews.

Instructions

Generate audio overview. Requires confirm=True after user approval.

Args: notebook_id: Notebook UUID source_ids: Source IDs (default: all) format: deep_dive|brief|critique|debate length: short|default|long language: BCP-47 code (en, es, fr, de, ja) focus_prompt: Optional focus text confirm: Must be True after user approval

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notebook_idYes
source_idsNo
formatNodeep_dive
lengthNodefault
languageNoen
focus_promptNo
confirmNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses the user approval requirement (confirm parameter) which is important behavioral context. However, it doesn't mention whether this is a read or write operation, what happens to existing content, potential side effects, or any rate limits. The description adds some value but leaves significant behavioral aspects unspecified.

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 clear purpose statement followed by parameter explanations. It's appropriately sized for a 7-parameter tool. The only minor inefficiency is repeating the confirm requirement in both the opening sentence and parameter description, though this serves to emphasize an important constraint.

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?

Given the tool's complexity (7 parameters, content generation operation) with no annotations but with an output schema present, the description provides good coverage. It explains all parameters and the user approval requirement. The existence of an output schema means the description doesn't need to explain return values. The main gap is lack of information about what 'audio overview' actually produces or how it differs from other content generation tools.

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

Parameters4/5

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

With 0% schema description coverage for 7 parameters, the description provides substantial semantic information beyond the bare schema. It explains the purpose of each parameter (notebook UUID, source IDs, format types, length options, language codes, focus prompt, and confirmation requirement). The only gap is that 'source_ids' description 'Source IDs (default: all)' could be more explicit about what happens when null vs. specific IDs are provided.

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 purpose as 'Generate audio overview' with specific parameters like format, length, and language. It distinguishes from siblings like 'video_overview_create' by specifying audio output, but doesn't explicitly differentiate from other content generation tools like 'report_create' or 'slide_deck_create' beyond the audio medium.

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 provides explicit usage guidance: 'Requires confirm=True after user approval' and specifies 'Must be True after user approval' for the confirm parameter. This clearly indicates when to use this tool (after obtaining user consent) and establishes a prerequisite condition for invocation.

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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