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Ableton MCP

Ableton MCP

by Dysron
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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select_track_by_index

Select a specific track in Ableton Live by providing its numerical index to manage your session arrangement and focus on individual tracks.

Instructions

Select a track in Ableton Live.

Args:
    track_index: The index of the track to select (0-based)

Returns:
    Confirmation message

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "track_index": "<track_index>"
    },
    "name": "select_track_by_index"
  }
}

Input Schema

NameRequiredDescriptionDefault
track_indexYes

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While 'Select a track' implies a UI/state change operation, it doesn't specify whether this requires specific conditions (like Live being in a particular mode), what happens if the index is invalid, or whether this action is reversible. The confirmation message return is mentioned but not elaborated.

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 extremely concise and well-structured: a clear purpose statement followed by brief Arg and Return sections. Every sentence earns its place with no redundant information, making it easy to parse quickly.

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?

Given the tool's moderate complexity (single parameter mutation in a music production context) and the presence of an output schema (which handles return values), the description is minimally adequate. However, with no annotations and incomplete parameter guidance, it leaves gaps in behavioral understanding that could affect reliable tool invocation.

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?

The description adds minimal parameter semantics beyond the schema: it explains that 'track_index' represents 'The index of the track to select (0-based)'. With 0% schema description coverage, this provides basic clarification but doesn't compensate fully for the coverage gap (e.g., no range constraints or validation rules).

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 clearly states the action ('Select a track') and target system ('in Ableton Live'), providing a specific verb+resource combination. However, it doesn't distinguish this tool from potential sibling tools like 'find_track' or 'list_tracks', which might have overlapping functionality.

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?

The description provides no guidance on when to use this tool versus alternatives like 'find_track' or 'list_tracks'. It doesn't mention prerequisites, context requirements, or any explicit when/when-not scenarios, leaving the agent to infer usage from the tool name alone.

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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