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Ableton MCP

Ableton MCP

by Dysron
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

test_connection

Verify Ableton Live is running and AbletonOSC is enabled to enable AI control of the music production software.

Instructions

Test if Ableton Live is running and AbletonOSC is enabled.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "test_connection"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It discloses the tool's behavior (testing connectivity/status) but does not detail traits like error handling, response format, or performance characteristics. It meets a minimal baseline by stating what it does but lacks richer behavioral context.

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 a single, efficient sentence that directly states the tool's purpose with no wasted words. It is front-loaded and appropriately sized for a simple diagnostic tool, making it easy to understand quickly.

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 the tool's simplicity (0 parameters, no annotations, but has an output schema), the description is complete enough for its purpose. It clearly defines what the tool tests, and with an output schema, additional details on return values are unnecessary. However, it could slightly enhance context by mentioning typical use cases.

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 tool has 0 parameters with 100% schema description coverage, so no parameter information is needed. The description appropriately focuses on the tool's purpose without redundant parameter details, aligning with the baseline for zero-parameter tools.

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 specific action ('Test if') and the target resources ('Ableton Live is running and AbletonOSC is enabled'), distinguishing it from sibling tools that focus on track manipulation, export, or listing. It precisely defines what the tool checks without ambiguity.

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 context (e.g., verifying Ableton Live and OSC status before other operations) but does not explicitly state when to use it versus alternatives or provide any exclusions. It offers basic guidance through implication but lacks explicit directives.

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

Deploy Server

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