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transcribe

Generate text from audio files in over 90 languages, with the option to identify different speakers.

Instructions

Transcribe audio to text using ElevenLabs Scribe with optional speaker diarization. Supports 90+ languages. Trigger: 'elevenlabs transcribe', 'elevenlabs stt', or 'elevenlabs speech to text'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
audio_pathYesAbsolute path to the audio file to transcribe
modelNoTranscription model: "scribe_v2" (default, 90+ languages), "scribe_v1"
language_codeNoLanguage code (ISO 639-1, e.g., "en", "es", "fr") to improve accuracy
diarizeNoIdentify which speaker is talking (default: false)
num_speakersNoExpected number of speakers (up to 32). Helps improve diarization accuracy.
Behavior3/5

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

With no annotations, the description carries the full burden. It mentions optional diarization and 90+ languages, but omits details like API calls, rate limits, or side effects. The behavioral traits are adequately implied but not explicit.

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?

Extremely concise: three sentences front-loaded with the main purpose, additional capabilities, and trigger phrases. Every sentence adds value without redundancy.

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?

For a tool with 5 parameters and no output schema or annotations, the description covers core functionality but lacks details on output format, error handling, or prerequisites. Adequate but not comprehensive.

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 baseline is 3. The description adds minimal context beyond the schema (e.g., 'optional speaker diarization' mirrors the 'diarize' parameter). Does not significantly enhance parameter understanding.

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 verb 'transcribe' and resource 'audio to text' using a specific service (ElevenLabs Scribe). It differentiates from sibling tools like voice isolation or text-to-speech by focusing on transcription.

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 on when to use this tool versus alternatives such as speech_to_speech or voice_isolation. The description only provides trigger phrases but lacks context for decision-making.

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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