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export_handoff_pack

Generates a manifest of downloadable URLs for raw clips, dialogue, SFX, music, and subtitles, enabling you to assemble and mix the final cut yourself.

Instructions

导出本集「素材交接包」清单:逐镜裸片 + 对白音轨 + 音效 + 配乐 + 字幕的可下载 URL,交给你在自己那边完成转场决策、拼接、混音、烧字幕——平台不参与终拼。免费,零扣费。

【推荐流程】① 调本工具拿 manifest;② 按 clips[].url 把裸片下载到本地;③ 你自己看片判断每个接缝该用什么转场(manifest 给了 scene_boundary 场景边界作判据),写一份 plan.json;④ 用 get_handoff_toolchain 拿到 compile_timeline.py 展开时间轴、assemble.sh 装配出成片。工具链已经把「加了重叠转场之后字幕/对白/音效怎么跟着位移」算好了。

【三个不看就会翻车的事实】 ① audio_contract.mode="tts" 时裸片里没有人声,对白在 dialogue_audio 里;不铺就是整集没台词。mode="clip" 时人声已烤在裸片音轨里,反过来不要再叠。 ② 每镜必须按 trim_head_ms / duration_ms 裁剪再用;直接拼整条裸片会把平台已经 QC 掉的首尾形变帧一起拼进去。 ③ 字幕 cue、dialogue_audio.offset_ms、sfx[].offset_ms 的基准都是「该镜 trim 之后的第 0 毫秒」,不是成片绝对时间。你加多少重叠转场都不用改它们——交给 compile_timeline.py 展开,别手算累加。

想让平台代拼、要平台级质量闸(终拼预检/音画等长/响度母带),改用 compose_episode。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
episode_idYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.57

TDQS

A4.7/5.0
Behavior5/5

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

No annotations are provided, so the description carries the full burden. It discloses the read-only/export nature, zero cost, non-involvement of the platform, and exposes three non-obvious failure modes about TTS audio, trim offsets, and time-base semantics. This goes well beyond what the schema or annotations could convey.

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?

Though long, every section earns its place: the core result is front-loaded, the workflow is numbered, pitfalls are grouped under a clear warning heading, and the alternative is stated last. The structure makes the density manageable.

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 tool with one parameter, no output schema, and no annotations, the description is remarkably complete. It not only explains what is returned but names key manifest fields, warns about offset and trim semantics, and routes the agent to the correct downstream tool and alternative.

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 schema has one self-explanatory parameter, episode_id, and the description references '本集' but never explicitly defines the parameter or its meaning beyond that. Since schema description coverage is 0%, the description does not fully compensate, though the single parameter is simple enough that this is a minor gap.

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 and resource: exporting a per-episode handoff manifest with download URLs for raw clips, dialogue, SFX, music, and subtitles. It clearly differentiates itself from compose_episode by emphasizing that the platform does not perform final assembly, so an agent can distinguish it from sibling tools without opening schemas.

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?

It provides an explicit recommended workflow, names the follow-up tool get_handoff_toolchain, and gives the exact condition for choosing the alternative compose_episode. This is unusually clear when-to-use and when-not-to-use guidance, leaving little to inference.

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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