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compare_mix_to_style

Read-only

Measure your mix against a style profile to get verdicts on loudness, true peak, dynamics, and low-end mono, plus low end and tone reported for your ear.

Instructions

Measures the mix and compares it with a style profile: loudness, true peak, dynamics and low-end mono get verdicts; low end and tone are reported to judge by ear.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
styleYes
trackNo"master" for the mixmaster
end_barNoDefault: end of project
start_barNoBar number, 1-based. Fractions are parts of the bar (5.5 = halfway through bar 5).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.19.1

TDQS

B3.2/5.0
Behavior3/5

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

readOnlyHint=true already establishes this is a safe read. The description adds genuinely useful context beyond the annotation: it distinguishes dimensions that receive objective 'verdicts' (loudness, true peak, dynamics, low-end mono) from those merely 'reported to judge by ear' (low end, tone). It does not disclose the return shape or what a verdict looks like, but the verdict/by-ear split is real added value.

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?

A single dense sentence front-loads the core action and uses a colon/semicolon to partition the metrics cleanly. No wasted words, though the verdict/by-ear split compresses a lot into one clause.

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?

With no output schema, the description carries the burden of explaining results; it partially does so via verdicts vs by-ear reporting, but leaves the format of a 'verdict' and the origin of style profiles unspecified. Adequate but with visible gaps for a comparison tool.

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?

Schema description coverage is 75%, so the schema largely documents track, start_bar, and end_bar. The description mentions the 'style profile' but never says where style values come from or how they relate to siblings like list_genres/get_genre_profile. Baseline 3 is appropriate.

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?

States a specific verb pair (measures the mix, compares it against a style profile) and enumerates the dimensions analyzed. The agent can tell what the tool produces, though it does not distinguish this from siblings like analyze_audio, measure_tracks, or master_to_target.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use guidance and no alternatives named. Given the cluster of analysis/comparison siblings (analyze_audio, measure_tracks, master_to_target), an explicit routing cue would be expected but is absent; usage is only implied by the description of what gets measured.

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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