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peterkolbe

io.github.peterkolbe/ableton-for-ai

by peterkolbe

get_track

Inspect a specific track's complete mixer state, device chain, and all device parameters with readable values.

Instructions

TRACK INSPECTION: Returns comprehensive data for a single track.

Includes:

  • Mixer state (Volume, Panning, etc.).

  • Complete Device Chain.

  • All Device Parameters (including UI-readable strings like "-12.0 dB" or "1500 Hz").

Use this when you need to understand exactly how a specific track is processed or which parameters are available for manipulation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
track_indexYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

The description fully explains the return content (mixer state, device chain, UI-readable parameter strings). Since no annotations are provided, it carries the full burden and does so well, though it could explicitly note it is a non-destructive read operation.

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 concise, uses a clear heading, bullet points for included data, and a usage directive. Every sentence adds value with no 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?

For a simple one-parameter tool with an output schema, the description covers the essential aspects: what it does, what it returns, and when to use it. It does not mention error handling or index validation, but these are minor omissions.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain the 'track_index' parameter. The parameter name is self-explanatory, but given the lack of any additional semantic guidance, the score is low.

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 uses 'TRACK INSPECTION' as a verb-resource pair and lists specific data returned (mixer state, device chain, parameters). This clearly distinguishes it from siblings like 'get_tracks' (plural) and 'set_*' tools.

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 explicitly says 'Use this when you need to understand exactly how a specific track is processed or which parameters are available for manipulation.' This provides clear context but does not mention when not to use it or alternative tools for different needs.

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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