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transcribe_audio

Transcribe local audio files to text or subtitle formats (SRT, VTT) with speaker diarization. Supports JSON and verbose output, optional context prompts, and language selection.

Instructions

Transcribe an audio file using VibeVoice-ASR.

Args: file_path: Absolute path to the audio file (wav, mp3, flac, etc.) response_format: Output format: text, json, verbose_json, srt, vtt (default: text) prompt: Optional prompt/context to guide transcription language: Language code for verbose_json output (default: en)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo
languageNo
file_pathYes
response_formatNotext

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations provided, so the description must fully disclose behavior. It lacks details on side effects (read-only/mutation), file size limits, timeouts, authentication requirements, or other constraints. Only parameter descriptions exist.

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 well-structured with a concise opening sentence followed by a clear 'Args' block. Minor redundancy exists (first sentence restated in file_path), but overall efficient and easy to parse.

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

Completeness3/5

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

While the description covers parameters adequately, it omits important context: output format (though output schema exists), model loading prerequisites (implied by siblings), and potential errors. It is functional but not fully self-contained.

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?

The description adds significant value beyond the bare input schema, which has 0% description coverage. It explains file path format and supported extensions, response format options, prompt purpose, and language usage. All four parameters are well-documented.

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 clearly states the action 'Transcribe an audio file' and names the specific tool 'VibeVoice-ASR'. It effectively distinguishes from sibling tools (get_vibevoice_status, load_vibevoice_model), which handle status and model loading.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The description does not mention prerequisites (e.g., model must be loaded) or when not to use it. The usage context is only implied by the action 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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