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extao15

garageband-llm-bridge

by extao15

garageband_image_to_tab

Convert guitar tab images to six-line tab text using macOS Vision OCR. Input a local path or image URL.

Instructions

Use macOS Vision OCR to extract six-line guitar tab text from a local image path or image URL.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_pathNo
image_urlNo
download_dirNo
Behavior2/5

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

With no annotations provided, the description carries the full burden. It discloses that macOS Vision OCR is used, but does not mention safety (e.g., read-only nature), potential errors, formatting requirements for the image, or what happens on failure. The tool's behavioral traits are minimally explained.

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 a single sentence that is concise and front-loaded with the core purpose. No unnecessary words; every part adds value.

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 tool has 3 optional parameters, no output schema, and no annotations, the description is insufficient. It does not specify return type, error behavior, or prerequisites (e.g., file permissions). A more complete description would include this context.

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

Parameters3/5

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

Schema coverage is 0% for all 3 parameters. The description adds meaning for image_path and image_url ('local image path or image URL'), but does not explain download_dir. This partial compensation raises the score from baseline 1 to a 3, though the omission of download_dir is a gap.

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 clearly specifies the action ('extract') and resource ('six-line guitar tab text from a local image path or image URL'). It implicitly distinguishes from sibling tools like garageband_image_to_midi (which converts to MIDI) and garageband_tab_to_midi (which processes text), but lacks explicit sibling differentiation.

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 versus alternatives, nor does it mention prerequisites or context for use. For example, it does not state that this tool is for text extraction only, not for conversion to MIDI.

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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