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Add music

add_music

Compose music for the edit (ElevenLabs) from a description and put it on the Music track from start, ducked under speech. Describe genre, mood, tempo and instruments ("warm lo-fi, soft piano, 85 bpm, hopeful"); it's instrumental unless instrumental=false. Length defaults to the timeline's (3-180 s). Counts against the workspace's monthly minutes of voice and music.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "prompt": "<prompt>"
    },
    "name": "add_music"
  }
}

Input Schema

NameRequiredDescriptionDefault
startNotimeline seconds, default 0
promptYes
volumeNodefault 0.6
durationNoseconds, default the timeline length
projectIdNoProject to act on (default: the open one)
approvalIdNoOnly after needs_approval: the id it gave, once the user said yes
instrumentalNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations only declare the safe-mutation profile (readOnly=false, destructive=false, openWorld=false); the description adds substantive behavior on top: generation is billed against the workspace's monthly voice/music minutes, length is clamped to 3-180 s, and the result is ducked under speech. Gaps remain on the approval flow (an `approvalId` parameter exists but the description never explains the needs_approval round-trip) and on what the call returns, which matters since there is no output schema.

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?

Four tight sentences, front-loaded with the action and destination, then prompt-crafting, then defaults/limits, then cost. The quoted example prompt and the billing note both earn their space; nothing is repeated from the schema verbatim.

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 7-parameter generative tool with no output schema, it covers the essentials an agent needs to call it correctly: prompt style, placement, duration bounds, and quota impact. The unexplained approval pathway and the absent return-value description are the remaining holes.

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?

Adds real meaning beyond the 71%-covered schema: it tells how to craft `prompt` (genre, mood, tempo, instruments, with a concrete example string), that `instrumental` defaults to true, how `duration` derives from the timeline with a 3-180 s bound, and that `start` governs placement. `volume`, `projectId`, and `approvalId` are left entirely to the schema.

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?

States a specific verb and resource (compose music via ElevenLabs) and names the exact destination (the Music track, from `start`, ducked under speech). That placement detail alone separates it from add_sfx, add_voiceover, and add_beat_markers without opening any schema.

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 context of use is clear — an instrumental bed auto-ducked under speech, generated from a text description — which implicitly routes agents away from add_voiceover and add_sfx. It stops short of naming alternatives or stating exclusions (e.g., when to prefer an uploaded track via add_clip or import_media).

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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