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audio_overview_create

Generate an audio podcast overview from your notebook sources. Set format, length, language, and focus, then confirm to start.

Instructions

Generate an audio podcast overview (requires confirm=true)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoFormat: brief, critique, debate, deep_dive
lengthNoLength: default, long, short
confirmYesMust be true to start generation
languageNoBCP-47 language code (e.g. en, es)
source_idsNoSource IDs (omit for all)
notebook_idYesThe notebook ID
focus_promptNoFocus prompt for the audio
Behavior2/5

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

With no annotations provided, the description carries the full burden of disclosing behavioral traits. It only repeats the schema's confirm requirement and does not mention whether generation is asynchronous, what side effects occur, or any additional prerequisites or limitations.

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

Conciseness5/5

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

The description is a single, concise sentence that front-loads the main purpose. Every word is necessary, with no redundancy or filler, achieving maximum conciseness.

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?

For a complex generation tool with 7 parameters, no output schema, and no annotations, this description is severely incomplete. It does not explain return behavior, asynchronous processing, or when to use the tool, leaving the agent with insufficient context to invoke it correctly.

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

Parameters3/5

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

The input schema has 100% coverage of all parameters with clear descriptions, meeting the baseline for parameter semantics. The tool description adds no extra parameter information, but the schema already provides sufficient meaning.

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 verb ('Generate') and resource ('audio podcast overview'), making the tool's purpose understandable. However, it does not explicitly differentiate from sibling tools like video_overview_create or infographic_create, relying on the word 'audio' to imply the distinction.

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?

The description provides no guidance on when to use this tool versus alternatives such as video_overview_create or report_create. The only additional note, 'requires confirm=true,' is a parameter requirement, not a usage context or exclusion.

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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