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TTS ASS 자막 다운로드

tts_jobs_subtitles
Destructive

Download the completed ASS subtitles once as base64. 완료된 TTS의 발화 타이밍 ASS 자막을 base64로 한 번 내려받습니다. 호출이 시작되면 자막 원본이 소모되므로 재실행할 수 없습니다. [추가 과금 없음]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
job_idYescompleted 상태인 32자리 ID

TDQS

A4.4/5.0
Behavior5/5

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

Beyond the annotations, the description adds genuinely important behavior: the subtitle source is consumed on call, re-execution is impossible, and there is no additional charge. This gives the agent critical expectations that structured fields alone do not convey.

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 short and front-loaded with the core action, and the consumption warning is clearly placed. The bilingual content is partially redundant, but it remains compact and scannable.

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

Completeness5/5

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

For a single-parameter tool with destructive one-shot behavior, the description covers the essential completion requirement, the base64 return format, the consumption warning, and billing. No critical operational detail is missing.

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

Parameters3/5

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

The input schema already documents job_id fully, including the 32-character format and the requirement that it be in completed state. The description adds no additional parameter-level meaning, so the baseline score is appropriate.

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 ('Download the completed ASS subtitles') and a concrete resource (ASS subtitles as base64), making its purpose immediately clear. It is distinct from sibling tools like tts_jobs_status, tts_jobs_result, or tts_jobs_cancel, which have different resources or operations.

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 clearly indicates the tool is for completed jobs and that the subtitle source is consumed on call, so it cannot be re-run. It does not explicitly name sibling alternatives, so it stops short of full when-to-use versus when-not-to-use guidance, but the usage context is clear.

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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TDQS

A3.6/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose, including the watermark pair: draw_watermark_image is visible text while set_watermark embeds an invisible code. The TTS job lifecycle tools are also cleanly separated by action and output type.

Naming Consistency3/5

The set mixes conventions: conversion tools use input_to_output, watermark tools use verb_noun, TTS jobs use a tts_jobs_ prefix, and stt is a bare acronym. The names are readable but do not follow one predictable pattern.

Tool Count3/5

At 19 tools, the server sits in the borderline 16-25 range and spans document conversion, image processing, watermarking, audio/video, and async TTS. Most tools earn their place, but the overall surface feels somewhat heavy for a single conversion-focused server.

Completeness4/5

The server covers its core domains well: document conversions, watermarking with both visible and invisible methods, PDF operations, and a full async TTS workflow. Minor gaps exist, such as missing image-to-PDF or Excel-to-JSON inverse conversions, but agents can generally complete workflows without dead ends.