Transcribe (speech-to-text)
Server Details
Pay-per-minute speech-to-text: audio URL to text, SRT or VTT. Paid via x402 or credits.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-11-25
- URL
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of selecting the wrong one. Its purpose (MP3/WAV speech-to-text with optional translation and subtitles) is stated unambiguously in the description.
The single name, transcribe_audio, follows a clear verb_noun snake_case pattern. With one tool there are no conflicting conventions to break consistency.
A single tool is thin relative to the usual 3-15 sweet spot, but the operation is genuinely singular (transcribe one audio file) and the tool bundles the relevant options (format, translate, timestamps) rather than splitting them. It is well-scoped but offers no separate capability for quotes, credits, or job status, leaving only one entry point.
The domain surface is mostly covered: transcription, language detection, timestamped segments, SRT/VTT output, and English translation in one call. Gaps remain—no m4a/ogg/flac/webm support, no upload (public URL only), and a hard 30-minute cap with no async/long-audio path—but the description flags these so agents can work around them.
Available Tools
1 tooltranscribe_audioTranscribe audio (speech-to-text)ARead-onlyIdempotentInspect
Speech-to-text for a public MP3 or WAV file (audio_url, up to 30 minutes): transcript, detected language, timestamped segments and optional SRT/VTT subtitles (format=srt|vtt); task=translate returns English. Paid only, no free tier: $0.003 per started audio minute (minimum 1). Call without payment to get the exact quote for your file (x402 payment terms); then retry with params.meta["x402/payment"] or a prepaid credits key (Authorization: Bearer yatc...). Charged only when a transcript is returned. Not for m4a, ogg, flac or webm (convert to MP3 or WAV first).
| Name | Required | Description | Default |
|---|---|---|---|
| vad | No | Skip silence with voice activity detection (default false) | |
| task | No | transcribe (default) or translate (to English) | |
| format | No | json (default); srt or vtt also returns subtitles in the srt / vtt field | |
| prompt | No | Optional context words or spellings (max 500 chars) | |
| language | No | Optional ISO 639-1 code of the spoken language (e.g. en, es, de); detected when omitted | |
| audio_url | Yes | Public https URL of an MP3 or WAV file (up to 30 minutes / 30 MB). |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare the tool as read-only, idempotent, open-world, and non-destructive. The description adds substantial behavioral context beyond annotations, including paid-only pricing, per-minute charging, minimum billing, the x402 quote-first payment flow, prepaid credits authentication, and that charges occur only when a transcript is returned.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is dense but front-loaded: purpose, outputs, supported formats, pricing, payment mechanics, and exclusions all appear in a logical order. Every clause carries operational value for calling the tool correctly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
There is no output schema, so the description usefully explains the returned fields: transcript, detected language, timestamped segments, and optional SRT/VTT subtitles. It also covers file constraints, pricing, payment flow, and unsupported formats, leaving little an agent needs to infer.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
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 six parameters. The description reinforces audio_url, format, and task=translate but does not add new semantics for vad, prompt, or language beyond what the schema provides, so the baseline of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific verb and resource: speech-to-text for a public MP3 or WAV file. It also names the primary outputs (transcript, detected language, timestamped segments, optional SRT/VTT) and the translate variant, so an agent can understand exactly what the tool does.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It gives explicit supported inputs (public MP3/WAV, up to 30 minutes), exclusions (not m4a, ogg, flac, or webm), and the operational payment flow: call without payment for a quote, then retry with x402 payment metadata or a prepaid credits key. This is strong when-to-use and when-not-to-use guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
transcribe_audio
Related MCP Connectors
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