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ableton-mcp-lofifren

ableton-mcp-lofifren

by LofiFren
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
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create_clip_with_notes

Create a MIDI clip with notes in a single batched call. Provide track, clip position, length, and note list.

Instructions

Create a MIDI clip and populate it with notes in a single batched call.

Parameters:

  • track_index, clip_index: where to put the clip

  • length: clip length in beats

  • notes: list of note dicts {pitch, start_time, duration, velocity?, mute?}

  • name: optional clip name

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>",
      "clip_index": "<clip_index>",
      "length": "<length>",
      "notes": "<notes>"
    },
    "name": "create_clip_with_notes"
  }
}

Input Schema

NameRequiredDescriptionDefault
track_indexYes
clip_indexYes
lengthYes
notesYes
nameNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.8/5.0
Behavior3/5

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

The description states it is a 'single batched call,' implying atomicity, but does not disclose error handling, behavior if clip index already occupied, limits on notes, or return value. Basic behavior is covered but lacks depth beyond what is inferred.

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 two sentences and a parameter list, clearly front-loaded with the main purpose. Every sentence and parameter is necessary, with no fluff or 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?

Given no output schema or annotations, the description covers what the tool does and its required parameters. It could mention return behavior (success/failure) or whether it overwrites existing clips, but overall it is fairly complete for a creation tool.

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?

Schema coverage is 0%, but the description lists parameters with brief explanations. For 'notes,' it provides the dict format {pitch, start_time, duration, velocity?, mute?}, adding significant meaning beyond the schema's generic array of objects. Other params are minimally described but sufficient.

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 clearly states 'Create a MIDI clip and populate it with notes in a single batched call,' specifying the verb (create), resource (MIDI clip), and action (populate with notes), which distinguishes it from siblings like 'create_clip' (likely empty) and 'add_notes_to_clip' (adds to existing).

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 explicit guidance on when to use this tool vs alternatives. For example, it doesn't mention that for adding notes to an existing clip, one should use 'add_notes_to_clip', or that for an empty clip, use 'create_clip'. The name implies batching but the description lacks usage context.

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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