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ableton-mcp-lofifren

ableton-mcp-lofifren

by LofiFren
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

quantize_clip

Quantize notes in a clip by snapping start times to a selected grid. Specify track, clip, and grid size (1/4 to 1/32) to correct timing.

Instructions

Quantize all notes in a clip to a grid by snapping each note's start_time to the nearest grid line.

Parameters:

  • grid: "1/4" | "1/8" | "1/16" | "1/32"

Implementation: read existing notes, round start times, then in one batch remove the old notes and write the new ones. The whole edit is atomic from Live's perspective.

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>"
    },
    "name": "quantize_clip"
  }
}

Input Schema

NameRequiredDescriptionDefault
track_indexYes
clip_indexYes
gridNo1/16

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.1.0

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden. It explains that the operation is atomic, reading existing notes, rounding start times, and batch removing and writing. It does not claim any destructive side effects beyond note modification.

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?

Very concise: one sentence for purpose, then parameter list, then implementation detail. No wasted words and front-loaded with the key action.

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?

No output schema is provided; the description does not explain return values or error cases. However, implementation detail adds context. Missing some behavioral aspects like permissions or response format.

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 input schema has 0% description coverage. The description explains the 'grid' parameter with enum values but does not add meaning for 'track_index' or 'clip_index' beyond their names. Partial compensation but not complete.

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 the tool quantizes all notes in a clip to a grid, using the specific verb 'quantize' and resource 'clip notes'. This distinguishes it from sibling tools like 'add_notes_to_clip' or 'remove_notes_from_clip'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for snapping notes to a grid but does not explicitly state when to use this tool versus alternatives like 'add_notes_to_clip' or 'get_clip_notes'. No exclusions or prerequisites are provided.

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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