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transcribe_to_file

Transcribe audio into SRT, VTT, or TXT files. Choose model size, language, and optional translation to English for accessible subtitles or transcripts.

Instructions

[EXPERIMENTAL] Transcribe audio and export to a subtitle or text file. Requires separate setup (pip install faster-whisper).

ALWAYS tell the user where the file will be saved BEFORE starting. If user doesn't specify a path, call get_default_transcription_folder for a real path.

Runs in BACKGROUND - returns a job_id immediately.

Args: path: Absolute path for the output file (e.g. "C:/Users/You/Documents/transcript.srt") format: Output format - "srt", "vtt", or "txt" model_size: Whisper model - "tiny", "base", "small", "medium", "large-v3" language: ISO language code (e.g. "en") or None for auto-detect task: "transcribe" (spoken language) or "translate" (always English)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pathYes
taskNotranscribe
formatNosrt
languageNo
model_sizeNosmall

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It discloses that the tool runs in the background, returns a job_id immediately, and requires a separate pip install. It does not mention how to check the resulting job status, but the key behavioral traits are clearly surfaced.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is somewhat long but tightly packed with actionable information. The initial behavioral requirements are front-loaded, and the Args section is structured and scannable. A little redundancy exists between the schema field names and the Args list, but every sentence contributes.

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

Completeness4/5

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

For a 5-parameter background task with no output schema and no annotations, the description is remarkably complete: it covers setup, path behavior, background execution, return behavior, and every parameter. The main gap is not pointing the agent to check_transcription_status for following up on the returned job_id.

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 description coverage is 0%, and the description fully compensates by explaining all five parameters with examples, valid values, and meaning. It adds value beyond the bare schema by clarifying path format, format choices, model sizes, language behavior, and task semantics.

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?

The description states a specific action and resource: transcribe audio and export to a subtitle or text file. It also shows the exact output formats (srt, vtt, txt), making it distinguish itself from sibling transcription tools like transcribe_audio or transcribe_to_labels.

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 description gives clear invocation guidance: it requires separate setup, must tell the user where the file will be saved before starting, and should call get_default_transcription_folder when no path is given. It does not explicitly name sibling alternatives or say when not to use it, so it misses the full when-vs-alternatives guidance.

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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