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mcp_opendaw_create_solo_automation

Mute all other tracks to spotlight a solo track for a beat range, then restore them automatically all in one automation call.

Instructions

Mute all tracks except the solo track for a beat range, then restore.

Essential production technique: spotlight one element (bass solo, drum break, vocal spotlight) while everything else drops out. Without this you need N separate create_mute_automation calls with coordinated timing — this tool does it in one shot and guarantees all tracks return audible after.

Internally calls create_mute_automation for each non-solo track with events [[0, false], [start_beat, true], [end_beat, false]] — audible before solo, muted during, audible after.

solo_track: Track index that stays audible throughout (0-based). total_tracks: Total number of tracks to manage (e.g. 4 for a 4-track arrangement). start_beat: Beat position where solo begins (others mute). end_beat: Beat position where solo ends (others unmute). unit_indices: Optional comma-separated AU indices (e.g. "0,1,2,3"). If empty, uses 0..total_tracks-1.

Returns per-track mute schedule and confirmation.

Examples:

Drum break: drums solo for 4 beats (1 bar at 120 BPM)

create_solo_automation(solo_track=0, total_tracks=4, start_beat=8, end_beat=12)

Bass spotlight at bar 9

create_solo_automation(solo_track=1, total_tracks=4, start_beat=32, end_beat=40)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_beatYes
solo_trackYes
start_beatYes
total_tracksYes
unit_indicesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
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 goes into significant detail about internal behavior: 'Internally calls create_mute_automation for each non-solo track with events [[0, false], [start_beat, true], [end_beat, false]] — audible before solo, muted during, audible after.' This discloses the exact event sequence and guarantees restoration, far exceeding typical transparency.

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?

The description is well-structured: summary, use case, internal mechanics, parameter list with examples, return value, and examples. It is longer than a two-liner, but every sentence adds value given the low schema coverage. The front-loaded first sentence conveys the core purpose immediately, and the structure is easy to scan.

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?

This tool has 5 parameters, no annotations, and a non-trivial behavior (multi-track mute automation). The description covers the use case, internal implementation, each parameter, return value, and practical examples, making it fully self-contained. It even mentions the output in prose, aligning with the output schema.

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

Parameters5/5

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

Schema coverage is 0%, but the description manually explains every parameter: solo_track, total_tracks, start_beat, end_beat, unit_indices — including types, defaults, and examples. It even provides two code examples showing realistic parameter values, fully compensating for the schema's lack of descriptions.

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 opens with a precise action statement: 'Mute all tracks except the solo track for a beat range, then restore.' It clearly identifies the resource (tracks) and the operation (mute/restore), and it distinguishes itself from the sibling tool create_mute_automation by emphasizing it is a one-shot solution.

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 explicitly explains when to use this tool: 'Essential production technique: spotlight one element... Without this you need N separate create_mute_automation calls with coordinated timing — this tool does it in one shot.' It names the alternative and gives concrete musical examples (drum break, bass spotlight), making the use case unmistakable.

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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