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deliver_score

Hand over the finished score as files, once the user is happy with it. Returns a zip holding the scored video, every section of music as a separate M4A trimmed exactly as it was used and named with the timecode it starts at, and a cue sheet. An editor drops each file at the timecode in its name and has the render back on their own timeline. Call this with THE SAME arguments you passed to score_my_video — that is how it finds the right render. It never re-cuts anything.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
briefNothe same brief you scored with
versionNo
sectionsNo
silencesNo
track_idNo
video_urlYesthe same link you scored
music_offset_dbNothe same value you scored with, if you set one

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

The description states it never re-cuts anything and returns files, providing some transparency. However, it does not disclose potential side effects, required permissions, rate limits, or whether delivery marks state changes, leaving behavioral details incomplete.

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 front-loaded with purpose and return details, then gives usage guidance. It is slightly wordy with repeated emphasis on 'same' and 'scored,' but remains organized and not excessively long.

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

Completeness3/5

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

It describes the output contents well, which partially compensates for the missing output schema. However, it omits detailed parameter explanations, error conditions, and edge cases, so completeness is adequate but not thorough.

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?

Only 3 of 7 parameters have descriptions, and those are brief 'same as scored' references. The blanket instruction to pass the same arguments adds context, but nested fields like sections and silences remain undefined, so semantic coverage is partial.

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 hands over the finished score as files and lists the returned artifacts (zip, M4A stems, cue sheet). It implies use after scoring, though it does not explicitly contrast with sibling tools like score_my_video.

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?

It specifies when to use it ('once the user is happy with it') and instructs to call it with the same arguments passed to score_my_video. It also clarifies the tool never re-cuts anything, giving implicit guidance not to use it for revisions.

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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