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Fl Exec

fl_exec

Execute Python scripts within FL Studio to automate music production tasks, using pre-imported modules for channels, mixer, plugins, and more. Return values via result and capture prints as output.

Instructions

Run Python inside FL Studio. Pre-imported: channels, mixer, plugins, transport, patterns, playlist, arrangement, general, ui, device, midi, utils. Set result to return a value; print() goes to output. Avoid time.sleep and looping plugins.nextPreset; pass midi.FFNEP_DontPromptName to findFirstNextEmptyPat.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
timeoutNo

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

A3.6/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It does disclose output/return behavior and warns about time.sleep and plugins.nextPreset loops, but it does not explicitly warn that arbitrary Python can mutate the project or have other side effects, which is a meaningful gap for a code execution tool.

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 compact and every sentence carries useful information: execution scope, return/output handling, and specific pitfalls. No redundant or filler content.

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?

Covers execution context, result/print behavior, and known hazards, but omits timeout semantics and does not explain error handling or potential side effects of arbitrary code. Given the generic nature of the tool, these are notable omissions.

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?

Schema description coverage is 0%. The description explains the purpose of 'code' implicitly via 'Set result' and print behavior, but it does not describe the 'timeout' parameter at all, leaving a required/semantically important parameter unexplained.

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?

States a specific action ('Run Python inside FL Studio') and clearly distinguishes itself from sibling tools that target individual FL Studio features. The pre-imported module list further clarifies scope.

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?

Provides useful behavioral guidance about returning values, printing, and avoiding problematic calls, but does not explicitly state when to choose this generic execution tool over the many specific sibling tools. Thus usage context is implied rather than explicit.

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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