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transcribe_audio

Transcribe audio files to text using AI speech-to-text. Use OpenAI Whisper or ElevenLabs Scribe for flexible transcription.

Instructions

Transcribe audio to text using AI (speech-to-text). Providers: openai (Whisper), elevenlabs (Scribe). Available: none configured

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audioPathYesAbsolute path to the audio file to transcribe
providerNoProvider to use: openai, elevenlabs. Auto-selects if omitted.
languageNoLanguage code (e.g., 'en', 'fr', 'es') to hint the transcription language
providerOptionsNoProvider-specific parameters passed through directly
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses providers and configuration state but omits details like supported formats, file size limits, or error behavior. Only partially transparent.

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?

Two sentences, no redundancy. Every sentence provides essential information: purpose and provider availability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Missing key details such as output format (text), supported audio formats, and error cases. With no output schema, the description should be more complete.

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?

Schema coverage is 100% with descriptions for all 4 parameters. The description adds value by listing providers and noting 'none configured', providing context beyond the schema.

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 to text using AI, lists specific providers (openai, elevenlabs), and distinguishes it from sibling tools like generate_audio.

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 mentions 'Available: none configured' but does not explicitly state when to use this tool vs alternatives or provide prerequisites. Usage context is implied but not thorough.

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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