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Finekot API

multi_lang_episode

Translates each transcript segment, re-voices it in the target language and reassembles the episode on the original timeline — speed is adjusted (ffmpeg atempo, capped at ±20%) when the dubbed line runs long. Output: MP3 by signed link plus an srt in the target language. Target languages (TTS voice available): en, es, fr, it, hi, ja, pt, zh. Up to 60 minutes of audio. Billed per started minute of source audio. Cost €0.08 per minute, charged to the API key in Authorization: Bearer. Parameters — transcript: text or JSON [{start,end,text}] segments; audio_url: audio/video url (alternative); lang: target language: en | es | fr | it | hi | ja | pt | zh; voice: override voice (default matches lang).

Input Schema

NameRequiredDescriptionDefault
langNo
voiceNo
audio_urlNo
transcriptNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and does well: it discloses the atempo speed adjustment capped at ±20%, the MP3-by-signed-link plus target-language SRT outputs, the 60-minute ceiling, and per-minute billing at €0.08 charged to the Bearer API key. What it omits is failure behavior (e.g. what happens if neither transcript nor audio_url is supplied) and any retention or expiry detail on the signed link.

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?

Purpose and output lead, then constraints, then billing, then parameters — a front-loaded order matching how an agent decides to call. Every clause carries non-redundant information, and the parameter list, while dense, is clearly delimited with 'Parameters —'.

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 four-parameter, zero-annotation tool with an output schema, the description supplies the cost, limits, supported languages, output formats, and all parameter meanings — enough to call it correctly. The residual gaps are the missing input-selection rule between transcript and audio_url and no error-mode expectations, which matter for a billed, zero-required-parameter call.

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 description coverage is 0%, so the description must compensate, and it documents all four parameters: transcript as plain text or JSON [{start,end,text}], audio_url as the alternative input, lang with the full value list (en, es, fr, it, hi, ja, pt, zh), and voice as an override defaulting to the language's voice. The one gap is that it never states the precedence or exclusivity between transcript and audio_url beyond the word 'alternative'.

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 names a concrete multi-step operation — translate segments, re-voice in the target language, reassemble on the original timeline — which is far more specific than the sibling names 'translate' or 'text_to_speech'. An agent can tell this is episode-level dubbing, but the description never explicitly contrasts itself with those two closest siblings.

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

Usage Guidelines3/5

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

Usage is implied by the feature set (full-episode dubbing with timeline reassembly, 60-minute cap), and the audio_url parameter is flagged as an 'alternative' to transcript. However, there is no explicit when-to-use guidance, no statement of when to prefer the plain 'translate' or 'text_to_speech' tools, and no note on whether transcript or audio_url is required despite zero required parameters.

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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