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whatsapp_transcribe_file

Transcribe audio and video files from WhatsApp conversations with WhisperX, including speaker diarization and multilingual support.

Instructions

Transcreve arquivo manualmente com WhisperX, incluindo video via audio extraido.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathYes
out_dirNo
backendNowhisperx
languageNoportuguese
diarizeNo
min_speakersNo
max_speakersNo
prepareNo
force_prepareNo
whisperx_modelNolarge-v3
whisperx_deviceNoauto
whisperx_compute_typeNoauto
timeout_secondsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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 only indicates that transcription is 'manual' and that video is handled via audio extraction, but does not mention whether the tool modifies files, its destructive potential, permission requirements, or failure modes. Many important behaviors are left unspecified.

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?

The description is a single sentence with no extraneous words, making it concise. However, it lacks any structure (e.g., sections, lists) and is so minimal that it sacrifices clarity for brevity. It earns its place but does not add much value.

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

Completeness1/5

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

Given the tool has 13 parameters, 0% schema description coverage, and no annotations, the description is severely incomplete. It does not explain what the tool returns (despite an output schema existing), how parameters interact, or any important constraints like timeouts. The description provides insufficient context for an AI agent to use the tool effectively.

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

Parameters1/5

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

Schema description coverage is 0% for 13 parameters, yet the description adds zero explanation about any parameter. It does not clarify what 'prepare', 'diarize', 'backend', or other parameters mean or affect. The description completely fails to compensate for the lack of schema descriptions.

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 clearly states the tool transcribes files manually using WhisperX, and specifically mentions handling video via extracted audio. This provides a good verb-resource pairing and distinguishes from sibling tools that are about browser operations or message sending. However, it does not explicitly differentiate from potential other transcription tools.

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 guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, typical use cases, or when not to use it. Sibling tools are listed but no comparisons are made.

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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