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Transcribe audio

transcribe_audio

Transcribe supplied audio for cross-platform Poly-Glot workflows. Provide exactly one of audioUrl (HTTPS only) or audioBase64.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo
audioUrlNo
filenameNo
mimeTypeNo
audioBase64No
languageHintNo
detectLanguageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It reveals the HTTPS-only constraint and the one-of requirement for audio inputs, but it does not mention what the tool returns, whether transcription is synchronous or asynchronous, file size limits, language detection behavior, or any other side effects. This is a substantial gap for a tool with no annotation support.

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?

The description is two short sentences with no filler. The most critical usage constraint is front-loaded, and every sentence earns its place. It is efficient and easy to parse, though the brevity comes at the cost of completeness.

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 7 undocumented parameters, no annotations, and no output schema, the description is not complete enough for confident invocation. It captures the core input requirement but omits the meaning of most optional parameters, expected return format, and any behavioral caveats. An agent would likely need external knowledge or trial and error.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 0% description coverage and 7 parameters, so the description must compensate. It adds meaning for audioUrl and audioBase64 by specifying 'exactly one' and 'HTTPS only', which is useful. But it says nothing about prompt, filename, mimeType, languageHint, or detectLanguage, leaving most parameters semantically undefined.

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 verb 'Transcribe' and the resource 'supplied audio', so an agent can immediately tell what the tool does. It does not explicitly differentiate from sibling tools like detect_language or translate_text, but the transcription function is distinct enough from those names.

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 gives a clear invocation constraint—provide exactly one of audioUrl (HTTPS only) or audioBase64—and places the tool in a 'cross-platform Poly-Glot workflows' context. However, it does not explicitly state when to choose this tool over alternatives or when not to use it, leaving the selection guidance mostly implied by the tool name.

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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