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Transcribe audio (Zoom Scribe)

transcribe_audio

Convert audio and video files to text transcripts. Accept local file paths or URLs, and separate speakers by channel when enabled.

Instructions

Transcribe an audio/video file to text using the Zoom Scribe API. Accepts a local file path or an https URL (wav / mp3 / m4a / mp4). Returns the transcript with speaker-separated segments when channel_separation is enabled.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sourceYesLocal file path or https URL of the audio/video file
languageNoBCP-47 language code of the audio (e.g. ja-JP, en-US, zh-CN, ko-KR, es-ES, fr-FR, de-DE, pt-BR, it-IT)ja-JP
channel_separationNoSeparate speakers by audio channel
Behavior3/5

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

No annotations are provided, so the description carries full burden for behavioral disclosure. It discloses the API used (Zoom Scribe), input formats, and that output contains speaker-separated segments when enabled. However, it does not mention potential side effects, authentication requirements, file size limits, or error handling. For a transcription tool, this is adequate but not comprehensive.

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 consists of two sentences, each providing essential information without redundancy. It is front-loaded with the main purpose and efficiently covers key details.

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?

For a tool with 3 parameters, no output schema, and no annotations, the description adequately covers input types, file formats, and output characteristics. It lacks constraints like maximum file size or URL accessibility requirements, but overall it provides sufficient context for an agent to understand the tool's functionality.

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?

Schema description coverage is 100%, so the schema already documents all three parameters. The description adds limited additional meaning: it clarifies that channel_separation affects speaker-separated segments and provides examples for language codes. This is marginal improvement over the schema, so baseline 3 is appropriate.

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 the tool transcribes audio/video to text using Zoom Scribe API, specifies accepted file formats (wav, mp3, m4a, mp4) and input types (local file or https URL). It mentions output includes speaker-separated segments when channel_separation is enabled, distinguishing it from sibling tools like summarize_transcript and translate_text.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

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

The description implies transcription is a preprocessing step before summarization or translation, but provides no explicit guidance on when to use this tool vs alternatives or any exclusion criteria. It lacks explicit 'when to use' or 'when not to use' statements.

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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