Skip to main content
Glama
Sign In
ableton-mcp-lofifren

ableton-mcp-lofifren

by LofiFren
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

set_track_name

Rename any track in Ableton Live by providing its index and new name.

Instructions

Set the name of a track.

Parameters:

  • track_index: The index of the track to rename

  • name: The new name for the track

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": "<name>"
    },
    "name": "set_track_name"
  }
}

Input Schema

NameRequiredDescriptionDefault
track_indexYes
nameYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

C2.9/5.0
Behavior2/5

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

The description only states the basic operation and lists parameters. There is no disclosure of side effects, error handling, index base (0-based vs 1-based), or return behavior. Since no annotations exist, the description carries this burden but fails to address it.

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 with one sentence and two parameter bullets. Every word serves a purpose, and it is front-loaded with the core action. No extraneous information is present.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple setter with no annotations and no output schema, the description is minimal. It omits critical context such as whether the track index is zero-based, what happens on invalid input, and whether the change is immediately reflected. The agent may need to guess these details, making the description incomplete for safe usage.

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 meaning to both parameters by specifying that track_index is 'the index of the track to rename' and name is 'the new name for the track'. This compensates for the schema's lack of property descriptions, but it does not clarify constraints like valid index ranges or name formatting.

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 clear action ('Set the name') on a specific resource ('a track'), which distinguishes it from sibling tools like set_track_volume or set_clip_name. However, it lacks additional context or scope, making it clear but not exceptionally helpful.

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 guidance is provided on when to use this tool versus alternatives. It simply describes the action without any exclusions, prerequisites, or contextual advice for an AI agent deciding between related setter tools.

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

Deploy Server

Other Tools