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audio_overview_create

Create audio summaries from NotebookLM content by selecting sources, format, length, and language to generate podcasts or overviews for review.

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 confirmation requirement (important behavioral constraint) and implies this is a generation/mutation operation. However, it doesn't describe what 'audio overview' actually produces, potential side effects, permissions needed, rate limits, or error conditions - significant gaps for a tool with no annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is appropriately sized but not optimally structured. The first sentence states purpose and key constraint, which is good front-loading. However, the Args section uses inconsistent formatting (some parameters have explanations in parentheses, others don't) and could be more efficiently integrated with the main description.

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 7 parameters with 0% schema coverage, no annotations, but with an output schema present, the description does a reasonably complete job. It explains all parameters and their semantics, states the confirmation requirement, and the output schema means return values don't need explanation. The main gap is lack of behavioral context about what the tool actually produces and any constraints beyond confirmation.

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 compensates well by explaining all parameters in the Args section. It provides meaning for each parameter beyond just names: notebook_id is a 'Notebook UUID', source_ids default to 'all', format has specific enum values, etc. The only gap is that 'confirm' parameter semantics ('Must be True after user approval') could be more explicit about workflow.

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: 'Generate audio overview' with a specific verb ('Generate') and resource ('audio overview'). It distinguishes from siblings like 'video_overview_create' by specifying audio format, but doesn't explicitly differentiate from other content generation tools like 'report_create' or 'slide_deck_create'.

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 clear context about when to use this tool: 'Requires confirm=True after user approval' establishes a prerequisite workflow. It doesn't explicitly state when NOT to use it or name specific alternatives among siblings, but the confirmation requirement provides practical 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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