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Xenition

Transcribe a recording

transcribe_audio

Use this when the user wants the words from an audio or video recording — a meeting, lecture, interview or voice memo — and gives a link to the file (https, up to 25 MB). Returns the transcript and saves it as a document in their Xenition workspace. To turn it into notes and action items, pass the text to meeting_notes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYeshttps link to an audio or video file (mp3, m4a, wav, mp4, webm …), up to 25 MB
titleNooptional name for the saved transcript
languageNooptional spoken language code, e.g. 'en', 'es'; detected when omitted

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
titleYes
openUrlNo
truncatedNo
artifactIdNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations declare readOnlyHint=false, so the agent knows a write occurs; the description independently confirms the side effect ('saves it as a document in their Xenition workspace') and states the 25 MB / https input constraint. It does not disclose idempotency behaviour (whether re-running duplicates the document) despite idempotentHint=false, which is the main remaining gap.

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 waste. The usage condition and input constraint are front-loaded, and the chained-tool hint is placed last where it belongs.

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

Completeness5/5

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

An output schema exists, so return-value detail is not required; the description still notes the transcript is returned and persisted. With annotations covering the mutation profile and the sibling routing supplied, an agent has everything needed to call this correctly.

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 schema already documents url, title and language, including language auto-detection. The description only restates the https/25 MB constraint that already appears in the url schema, adding no new parameter semantics. Baseline 3 applies.

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?

States a specific verb (transcribe) and resource (audio or video recording), enumerates the concrete input types (meeting, lecture, interview, voice memo) and the accepted link form. It is clearly distinct from siblings like meeting_notes, which it explicitly names as the downstream tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The trigger condition is explicit: 'Use this when the user wants the words from an audio or video recording ... and gives a link to the file.' It also routes the next step to meeting_notes for notes and action items. It does not state exclusions (e.g. local files, oversized files, non-https links), so it stops short of a full when/when-not pair.

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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