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Create Ableton Plan

create_ableton_plan

Converts a ProjectPlan JSON into an Ableton-ready plan, bridging AI music production specs with Ableton workflows.

Instructions

Translate a ProjectPlan JSON value into an Ableton plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_planYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. The verb 'Translate' implies a pure data transformation, but the description does not disclose whether the operation has side effects, requires prior state, or behaves differently on invalid input. This is minimal behavioral disclosure for a tool with no annotation support.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, grammatically clean sentence with no wasted words, which is structurally sound. However, it is too sparse for the tool's complexity—it omits useful context that could be added without bloating the description, so it is under-specification rather than ideal conciseness.

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?

Although an output schema exists and covers return values, the description does not explain what an 'Ableton plan' is, how it relates to the ProjectPlan input, or how this tool fits in the workflow. This leaves an agent without the contextual knowledge needed to invoke it correctly, especially given related sibling tools.

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

Parameters2/5

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

The schema describes project_plan only as an object with additionalProperties true, providing no structural detail. The description adds the domain term 'ProjectPlan JSON value,' which gives some semantic meaning, but it does not explain what fields or constraints the ProjectPlan must have. With 0% schema description coverage, this is insufficient compensation.

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 specific action ('Translate') and resource ('ProjectPlan JSON value' into 'Ableton plan'), clearly indicating the tool's purpose. It is not a tautology and provides enough specificity to distinguish it from unrelated siblings, though it does not explicitly differentiate from closely related Ableton-handoff tools.

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 given about when to use this tool versus alternatives like prepare_ableton_handoff or execute_live_request. The description lacks any context about prerequisites, workflow position, or conditions that would direct an agent to choose this tool.

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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