Skip to main content
Glama
extao15

garageband-llm-bridge

by extao15

garageband_arrange_image_to_midi

Extracts tab from an image using OCR and creates a guitar, bass, and drums MIDI arrangement.

Instructions

Use macOS Vision OCR to extract tab from a local image or image URL, then create a guitar/bass/drums arrangement MIDI.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_pathNo
image_urlNo
download_dirNo
output_pathYes
bpmNoOverride detected OCR tab tempo.
titleNoGarageBand Bridge Arrangement
ticks_per_columnNo
sustain_columnsNo
include_bassNo
include_drumsNo
styleNorock
repeat_countNo
capoNo
tuningNoOverride OCR-detected tuning.
open_in_garagebandNo
Behavior2/5

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

No annotations are provided, so the description alone must disclose behavioral traits. It mentions OCR and output creation but does not indicate side effects (e.g., file overwriting, permissions, resource usage). The required output_path suggests file creation but no detail on overwrite behavior or format. For a tool with 15 parameters, more transparency is needed.

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

Conciseness4/5

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

The description is a single concise sentence of 23 words, efficiently conveying the core purpose. However, given the tool's complexity, a slightly more structured summary with parameter hints could improve usability.

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?

The tool has 15 parameters and no output schema, yet the description is a single sentence with no context on workflow, prerequisites, or output. It lacks completeness for effective agent usage.

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

Parameters1/5

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

With only 13% schema description coverage, the description should provide parameter guidance. It does not mention any of the 15 parameters (e.g., image_path/image_url, bpm, style, tuning). The single sentence only states the overall process, leaving the agent to guess parameter usage. This is a critical gap.

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 tool uses OCR to extract tab from an image or URL and creates an arranged MIDI. It specifies the resource (local image or URL) and output type (guitar/bass/drums arrangement MIDI), which distinguishes it from sibling tools like garageband_image_to_midi and garageband_arrange_tab_to_midi.

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?

The description provides no guidance on when to use this tool over alternatives. It lacks any 'when to use' or 'when not to use' statements. Given many sibling tools (e.g., garageband_image_to_midi, garageband_arrange_tab_to_midi), the agent needs more context to choose correctly.

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