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extao15

garageband-llm-bridge

by extao15

garageband_make_music

Accepts music scores, tablature, or images to create a GarageBand project, optionally export audio and take screenshots.

Instructions

Unified high-level recipe: accept MusicXML, JSON score spec, tab text/file, or tab image/URL, create music, open GarageBand, optionally screenshot and export audio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
output_dirYes
nameNo
score_pathNo
score_specNo
score_jsonNo
score_json_fileNo
tab_textNo
tab_fileNo
image_pathNo
image_urlNo
bpmNo
velocityNo
open_in_garagebandNo
show_libraryNo
show_smart_controlsNo
show_loop_browserNo
master_volumeNo
screenshot_outputNo
snapshot_depthNo
discard_unsavedNo
arrangeNo
include_bassNo
include_drumsNo
arrangement_styleNorock
repeat_countNo
capoNo
tuningNoPreset or six notes for tab/image sources.
export_outputNo
export_formatNo
export_qualityNo
export_include_cycleNo
export_overwriteNo
export_timeout_secondsNo
Behavior2/5

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

With no annotations, the description must disclose all behavioral traits. It mentions high-level actions but omits critical details like side effects, required permissions, whether it modifies files, or how GarageBand interaction works.

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 sentence; it is concise but lacks structure and misses key information for a tool with 33 parameters. It could be more organized.

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?

Given the complexity (33 parameters, no output schema, low schema coverage), the description is insufficient. It does not explain prerequisites, output, or how to use the many parameters.

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 only 3%, and the description does not map input types to specific parameters (e.g., which parameter for MusicXML). It adds minimal value beyond the schema.

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 it's a unified recipe that accepts multiple input formats (MusicXML, JSON, tab, etc.) and performs creation, opening GarageBand, and optional export. This distinguishes it from specific sibling tools like garageband_make_from_score.

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?

It labels itself as a 'unified high-level recipe' implying use for any of the listed input types, but does not explicitly state when to avoid it or compare with alternatives like the more specific sibling tools.

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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