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mcp_opendaw_apply_full_mix

Apply a complete mix in one call with genre-aware processing chains for drums, bass, instruments, and mastering.

Instructions

Apply a complete mix in one call — genre-aware processing chains on every track + mastering.

Replaces 5-6 separate calls (add_drum_chain + add_bass_chain + add_instrument_chain × N + add_mastering_chain). Each track gets the right chain with genre-appropriate style automatically.

genre: Determines chain styles per track. Supported: dnb, liquid_dnb, house, trap, techno, dubstep, afrobeat, rock, jazz, pop, funk, reggae, synthwave, trance, disco unit_index: Target audio unit. num_tracks: Number of note tracks in the unit (default 4). Track 0 = drums, Track 1 = bass, Track 2+ = melodic/instrument. master_lufs: Mastering LUFS target (-14 Spotify, -10 loud, -16 Apple).

Chain assignment per track: Track 0 → add_drum_chain (genre-aware style) Track 1 → add_bass_chain (genre-aware style) Track 2+ → add_instrument_chain (genre-aware style) Output → add_mastering_chain

Returns summary of all chains applied.

Example:

Full mix for a 4-track house project

apply_full_mix("house", unit_index=0, num_tracks=4)

Loud techno master

apply_full_mix("techno", num_tracks=3, master_lufs=-10)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
genreNopop
num_tracksNo
unit_indexNo
master_lufsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

The description details the chain assignment per track and genre-aware style selection, and notes it returns a summary. However, it does not disclose whether existing chains are overwritten or merged, which is a key behavioral detail for a composite operation. With no annotations, more transparency is needed.

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-organized with clear sections, bullet points for genres and track assignments, and an example call. Every sentence adds value without redundancy.

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?

Given the tool's complexity (4 parameters, composite operation), the description covers the overall purpose, parameters, track mapping, and provides an example. It is mostly complete but lacks information about whether existing chains are cleared or merged.

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 fully explains all 4 parameters: genre with a list of 15 supported styles, unit_index as target audio unit, num_tracks with track-to-chain mapping, and master_lufs with concrete examples like -14 for Spotify. This provides significant additional meaning beyond 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?

The description clearly states it applies a complete mix in one call with genre-aware processing chains on every track plus mastering. It explicitly contrasts with separate chain addition tools like add_drum_chain and add_bass_chain, providing strong purpose differentiation from siblings.

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 explains that this tool replaces 5-6 separate calls and details when to use it for full mixing. It does not explicitly state when not to use it (e.g., for per-chain adjustments), but the context strongly implies the composite use case.

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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