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arachne_transcribe

Transcribe audio, video, or YouTube URLs to text using Whisper models. Supports MP3, WAV, MP4, WebM, and auto-detects language.

Instructions

Transcribe audio, video, or YouTube URL using Whisper. Supports MP3, WAV, MP4, WebM, YouTube.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAudio/video/YouTube URL
languageNoLanguage code (pt, en, es, fr) or auto-detect
modelNoWhisper model sizebase
Behavior2/5

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

No annotations are provided, and the description lacks behavioral details such as return format, API limits, cost, or that it downloads content. Only the core action is stated.

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 a single sentence, concise and front-loaded with the main verb. It could include slightly more detail without becoming verbose.

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?

Given no output schema and three parameters, the description is too brief. It does not explain return values, limitations, or context relative to sibling tools.

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 baseline is 3. The description adds supported file formats beyond the schema's URL description, providing minor extra value.

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, or YouTube URLs using Whisper, with explicit support for multiple formats. This distinguishes it from sibling tools like arachne_vision or arachne_extract.

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 is given on when to use this tool versus alternatives. The description does not mention prerequisites, limitations, or comparison with sibling tools.

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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