garageband_image_to_midi

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

No annotations provided, so the description must disclose behavior. It mentions OCR and conversion but omits potential failures, side effects, or requirements (e.g., macOS Vision OCR availability). Does not state whether output is saved directly or requires further steps.

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

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

The description is a single concise sentence covering the core process. While efficient, it could benefit from bullet points or more structure to improve readability.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's complexity (11 parameters, no output schema), the description is insufficient. It lacks context on OCR accuracy, input image requirements, and parameter roles. A more complete description would explain the workflow and parameter functions.

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

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

With only 18% schema coverage, the description should explain key parameters. It doesn't mention any parameters, leaving the agent without understanding of fields like bpm, tuning, or capo beyond the schema's minimal descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool uses macOS Vision OCR to extract tab from an image and convert to MIDI, optionally opening in GarageBand. This distinguishes it from sibling tools like garageband_image_to_tab (which outputs tab) and garageband_tab_to_midi (which takes tab as input).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

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 vs alternatives (e.g., garageband_tab_to_midi for existing tab input, or image_to_tab for tab-only output). It doesn't specify prerequisites or conditions.

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