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mcp_opendaw_apply_full_mix

Apply a complete mix in one call, adding genre-aware processing chains to each track and mastering the output.

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
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It details the exact chain assignment per track, the return value, and the meaning of parameters. However, it does not mention potential side effects such as whether existing chains are overwritten, or whether the operation can be undone. This is a minor gap given the tool's clear mutation intent.

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 and front-loaded, starting with a one-line summary, then alternative guidance, parameter details, chain assignment, return value, and examples. Every sentence adds value; there is no fluff. The bullet points and code examples make it easy to scan.

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?

The description covers all four parameters, behavioral details, return value, and provides examples. It is quite complete for a complex tool. However, it does not explicitly mention prerequisites (e.g., that the unit must contain note tracks) or edge cases (e.g., what happens if num_tracks exceeds available tracks). These gaps are minor given the tool's clarity.

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 description coverage is 0%, but the description compensates thoroughly. It explains each parameter in detail: genre lists all supported values, unit_index identifies target, num_tracks explains track roles (0=drums, 1=bass, 2+=melodic), and master_lufs gives reference targets. The chain assignment section further elaborates how parameters map to behavior.

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 a specific verb+resource+scope: 'Apply a complete mix in one call — genre-aware processing chains on every track + mastering.' It explicitly distinguishes itself from sibling tools by naming the individual chain tools it replaces (add_drum_chain, add_bass_chain, add_instrument_chain, add_mastering_chain).

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?

The description provides explicit guidance on when to use this tool: 'Replaces 5-6 separate calls (add_drum_chain + add_bass_chain + add_instrument_chain × N + add_mastering_chain).' It also gives concrete examples with different genres and LUFS targets, which clarifies the intended use cases.

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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