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hedging8563

TokenLab MCP Server

by hedging8563

Create transcription

transcribe_audio

Transcribes audio files into text, supporting multiple response formats and timestamp granularities.

Instructions

Create transcription Transcribes audio into text (Speech-to-Text).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesAudio file to transcribe Pass local file path.
modelYesModel to use (whisper-1)
promptNoOptional prompt text
languageNoISO-639-1 language code
temperatureNoSampling temperature
response_formatNoResponse formatjson
timestamp_granularitiesNoTimestamp granularity selection. Requires verbose_json output when requesting word-level timestamps.
Behavior2/5

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

Annotations indicate readOnlyHint=false, openWorldHint=true, idempotentHint=false, destructiveHint=false. The description adds no behavioral context beyond these annotations, such as side effects or resource creation details.

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

Conciseness3/5

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

The description is short but awkwardly constructed with 'Create transcription Transcribes...' It could be a single clear sentence. Information density is low, but no filler words.

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?

With 7 parameters, 2 required, and no output schema, the description provides minimal context. It does not explain return values, file handling, or limitations. The annotations are sparse, leaving gaps.

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 coverage is 100%, so all parameters have descriptions. The tool description does not add additional meaning beyond the schema, but it does not detract. Baseline 3 is appropriate.

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 tool transcribes audio to text using 'Speech-to-Text'. It identifies the verb and resource, differentiating from sibling 'translate_audio'. However, the phrase 'Create transcription' is slightly redundant.

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 like 'translate_audio' or 'create_chat_completion'. No exclusions or prerequisites mentioned.

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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