Skip to main content
Glama

set_track_name

Rename tracks in Ableton Live sessions by specifying track index and new name to organize music production projects.

Instructions

Set the name of a track.

Parameters:

  • track_index: The index of the track to rename

  • name: The new name for the track

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
track_indexYes
nameYes

Implementation Reference

  • MCP tool handler for 'set_track_name'. Forwards the command to the Ableton remote script via socket, handles connection and errors.
    @mcp.tool()
    def set_track_name(ctx: Context, track_index: int, name: str) -> str:
        """
        Set the name of a track.
        
        Parameters:
        - track_index: The index of the track to rename
        - name: The new name for the track
        """
        try:
            ableton = get_ableton_connection()
            result = ableton.send_command("set_track_name", {"track_index": track_index, "name": name})
            return f"Renamed track to: {result.get('name', name)}"
        except Exception as e:
            logger.error(f"Error setting track name: {str(e)}")
            return f"Error setting track name: {str(e)}"
  • Core implementation in Ableton remote script that directly sets track.name using Ableton Live API and returns confirmation.
    def _set_track_name(self, track_index, name):
        """Set the name of a track"""
        try:
            if track_index < 0 or track_index >= len(self._song.tracks):
                raise IndexError("Track index out of range")
            
            # Set the name
            track = self._song.tracks[track_index]
            track.name = name
            
            result = {
                "name": track.name
            }
            return result
        except Exception as e:
            self.log_message("Error setting track name: " + str(e))
            raise
  • Dispatch/registration point in remote script's _process_command where 'set_track_name' internal command is handled and routed to _set_track_name.
    elif command_type in ["create_midi_track", "set_track_name", 
                         "create_clip", "add_notes_to_clip", "set_clip_name", 
                         "set_tempo", "fire_clip", "stop_clip",
                         "start_playback", "stop_playback", "load_browser_item"]:
        # Use a thread-safe approach with a response queue
  • Specific dispatch handler within the main thread task for the 'set_track_name' command in remote script.
    elif command_type == "set_track_name":
        track_index = params.get("track_index", 0)
        name = params.get("name", "")
        result = self._set_track_name(track_index, name)
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Set the name') but does not cover critical aspects like whether this is a destructive mutation, what permissions are required, how errors are handled (e.g., invalid track_index), or the expected response format. This leaves significant gaps for an AI agent to understand the tool's behavior.

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, with a clear purpose statement followed by a bulleted list of parameters. Every sentence earns its place, and there is no redundant or unnecessary 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.

Completeness2/5

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

Given the complexity of a mutation tool with no annotations and no output schema, the description is incomplete. It lacks details on behavioral traits (e.g., error handling, side effects), usage context, and return values, which are essential for an AI agent to invoke the tool correctly in a music production environment.

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

Parameters4/5

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

The description adds meaningful context beyond the input schema, which has 0% description coverage. It explains that 'track_index' is 'The index of the track to rename' and 'name' is 'The new name for the track', clarifying their roles. However, it does not specify constraints like valid ranges for track_index or name length limits, which could be important for usage.

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 verb ('Set') and resource ('name of a track'), making the purpose specific and understandable. However, it does not explicitly differentiate from the sibling tool 'set_clip_name', which might cause confusion in a music production context where tracks and clips are distinct entities.

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 'set_clip_name' or other track-related operations. It lacks context about prerequisites, such as whether the track must exist or be in a specific state, and does not mention any exclusions or recommended scenarios.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ahujasid/ableton-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server