Skip to main content
Glama
extao15

garageband-llm-bridge

by extao15

garageband_arrange_tab_to_midi

Convert six-line ASCII guitar tab to a GarageBand-importable MIDI arrangement with guitar, bass, and drums. Automate tempo, tuning, style, and repeat count.

Instructions

Convert six-line ASCII guitar tab into a GarageBand-importable guitar/bass/drums arrangement MIDI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tab_textYes
output_pathYes
bpmNoOverride detected tab tempo.
titleNoGarageBand Bridge Arrangement
ticks_per_columnNo
sustain_columnsNo
include_bassNo
include_drumsNo
styleNorock
repeat_countNo
capoNo
tuningNoPreset or six notes, such as drop d or D A D G B E.
open_in_garagebandNo
Behavior2/5

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

No annotations provided, so description must carry full behavioral burden. It does not disclose file creation behavior, overwrite policy, tempo detection logic, or any side effects. Simply states output format without behavioral specifics.

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?

Extremely concise (12 words) but at the expense of completeness. For a tool with 13 parameters and no annotations, the description should be longer to cover essential details. It is a single sentence, which is inefficient given the complexity.

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 high number of parameters, lack of output schema, and no annotations, the description fails to provide complete context. Missing details like expected tab format, tempo detection, output file characteristics, and instrument arrangement logic.

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 15% (only bpm and tuning have descriptions). The description adds no parameter-level details; it merely restates the overall purpose. For 13 parameters, this is inadequate.

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?

Description clearly states conversion of ASCII guitar tab to a GarageBand-importable MIDI arrangement with guitar, bass, and drums parts. It uses a specific verb ('convert') and resource ('six-line ASCII guitar tab'), and hints at arrangement capability distinguishing it from simpler siblings like garageband_tab_to_midi, but does not explicitly contrast.

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 on when to use this tool versus alternatives (e.g., garageband_tab_to_midi for simpler conversion, or garageband_image_to_tab for image input). No context about prerequisites or limitations.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/extao15/garageband-llm-bridge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server