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transcribe_url

Transcribe video from any URL by first extracting platform subtitles, then falling back to Whisper local transcription. Supports async mode for long videos.

Instructions

Transcribe a video from URL using three-tier strategy.

Tier 1: Extract platform subtitles (zero cost, fastest) Tier 2: Download audio + Whisper local transcription (offline, free) Tier 3: Return guidance for closed platforms (Xiaohongshu/WeChat)

For videos under 30 minutes, use sync mode (default) for direct results. For longer videos, set async_mode=true to get a task_id, then poll with get_transcript_status. Adjust segment_minutes for 1h+ videos.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesVideo URL (YouTube, Bilibili, Douyin, etc.)
modelNoWhisper model: tiny, base, small, medium, large-v3-turbolarge-v3-turbo
languageNoLanguage code: zh, en, ja, etc.zh
async_modeNoIf true, return task_id immediately for long videos
skip_subtitlesNoSkip subtitle extraction, use Whisper directly
cookies_browserNoBrowser for cookies: chrome, firefox, safari, edge
segment_minutesNoAudio segment length in minutes for splitting long videos. Default 30. Increase for 1h+ videos.
Behavior4/5

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

With no annotations, the description carries the full burden. It discloses the three-tier strategy (subtitles, Whisper, closed-platform guidance) and sync/async behavior. It doesn't cover error handling or permissions, but the tier strategy provides substantial behavioral insight.

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?

The description is front-loaded with the main purpose, structured into clear tiers, and every sentence contributes actionable information without redundancy. It is concise yet comprehensive.

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?

Given 7 parameters, no output schema, and no annotations, the description covers the workflow well: tiers, sync/async, polling, and closed-platform guidance. It could explicitly state the sync return value, but the tier strategy and usage notes make it largely complete.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value by explaining async_mode for long videos, segment_minutes for 1h+, and sync mode default, enriching the schema's parameter descriptions.

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 verb and resource: 'Transcribe a video from URL using three-tier strategy.' It clearly distinguishes from siblings by mentioning polling with get_transcript_status and contrasting with transcribe_file (via the URL versus file input).

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

Usage Guidelines5/5

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

Explicit guidance is given: 'For videos under 30 minutes, use sync mode (default)... For longer videos, set async_mode=true... poll with get_transcript_status.' It also advises adjusting segment_minutes for 1h+ videos, clearly indicating when to use which mode.

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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