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transcribe_recording

Re-transcribes an existing call recording in a chosen language or with speaker separation, letting you change language or split voices from the other side.

Instructions

Transcribe an existing recording again, e.g. in another language, or to separate voices: speakers = number of people on the other side (0 = unchanged).

Input Schema

NameRequiredDescriptionDefault
languageNo
speakersNo
recordingNolatest
wait_secondsNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden. It does not disclose whether re-transcription overwrites the existing transcript, whether the operation is asynchronous or blocking, what wait_seconds controls, or what permissions/side effects apply.

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?

It is front-loaded and has no wasted sentences, but it is under-specified rather than appropriately concise given four undocumented parameters and no annotations.

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?

An output schema exists, so return values need not be explained, but the description leaves critical gaps around parameter semantics and behavioral side effects for a tool that reprocesses recordings.

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?

Schema description coverage is 0%, so the description must compensate for all four parameters. It only explains speakers; language, recording, and wait_seconds remain undocumented beyond their names and defaults.

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 states a specific verb and resource: re-transcribing an existing recording. The word "again" helps distinguish it from first-time transcription or file transcription, but it does not explicitly name siblings like transcribe_file or get_transcript.

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?

It gives clear usage scenarios: re-transcribing in another language or separating voices. It does not explicitly state when not to use it or name alternatives, but the context is clear enough for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.