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kvoltmer

Audionaut MCP Server

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Split a clip into musically-aligned regions using cached analysis; run analyze first.

Instructions

Segments a clip on a track using cached analysis results (run analyze first). Splits the clip into musically-aligned regions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
clipNoPlaylist item id (default: the track's clip)
trackNoTrack id (default 0; imported audio lands on a new track)
projectYesPath to the .audium project package (absolute paths recommended)
measuresNoSegment length in measures
segmentsNoNumber of segments
crossfadesNoApply crossfades at joints (default true)
duration_secondsNoTarget duration

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.0

TDQS

A3.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It discloses the analyze prerequisite and the musical-region outcome, but says nothing about whether the edit is destructive, how existing regions are affected, permissions needed, or what happens to the original clip.

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?

Two tightly written sentences that front-load the action and the analyze prerequisite. Every sentence earns its place, with no filler or repetition.

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?

The schema is rich and fully documented, and the description supplies the key analyze prerequisite. However, as a mutation tool with no annotations and no output schema, it still omits side-effect and return-behavior context that an agent would need to invoke it safely.

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 100%, so the input schema already documents all seven parameters. The description adds no parameter syntax, defaults, or interaction details beyond what the schema provides, making the baseline 3 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?

The description states a specific verb and resource: it segments/splits a clip on a track into musically-aligned regions. It is clearly not a tautology and adds the cached-analysis basis, though it does not explicitly distinguish itself from sibling tools like split or create_region.

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?

It gives a clear prerequisite: run analyze first and use cached analysis results. That establishes when the tool is applicable, but it does not name alternatives or exclusions, so it falls short of a full when/when-not routing statement.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.