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skroes
by skroes

transcribe_audio

Transcribe audio files to text using OpenAI Whisper, converting voice messages from channels into readable text for processing.

Instructions

Transcribe an audio file to text via OpenAI Whisper.

Use this after download_attachment on a channel voice/audio attachment to get the user's actual spoken message as text.

Args: file_path: Absolute or relative path to the audio file (e.g. /home/.../STATE_DIR/inbox/voice-123.ogg). Supported formats: .ogg .mp3 .m4a .mp4 .wav .webm .flac.

Returns: Transcribed text. May be empty for silent audio.

Errors are returned as MCP isError responses with the exception type and message (FileNotFoundError, ValueError for >25 MB, or RuntimeError for API/config failures).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations, the description fully discloses behavior: uses OpenAI Whisper, returns text (possibly empty), and details specific error types (FileNotFoundError, ValueError for >25 MB, RuntimeError for API/config). No contradictory statements.

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?

Structured into clear sections (purpose, usage, args, returns, errors), front-loaded with key information, and no redundant text.

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?

For a single-parameter tool with no annotations, the description covers all necessary information: purpose, prerequisites, input format, output, and error handling. Complete with respect to context signals.

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

Parameters5/5

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

Schema coverage is 0%, but the description compensates by explaining the 'file_path' parameter with example path and supported formats, adding meaning beyond the schema.

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?

Clearly states 'Transcribe an audio file to text via OpenAI Whisper,' specifying the verb and resource, and distinguishes itself effectively in the absence of siblings.

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?

Provides explicit context to use after 'download_attachment' and lists supported formats, but does not discuss when not to use or alternative tools. Acceptable given no siblings.

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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