garageband_score_spec_to_midi

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

No annotations provided, so the description must fully disclose behavior. It mentions conversion and optional opening, but omits side effects, error handling, file overwrite behavior, GarageBand dependencies, and permission needs.

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?

Single sentence, no wasted words. Structured as verb + object + optional action. Could benefit from bullet points or separation for clarity, but remains concise.

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?

No output schema. Description lacks depth on return behavior (e.g., success/failure), constraints on score_spec format, or default velocity behavior. Given tool complexity (nested object, 4 params), more context would be helpful.

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?

Schema coverage is 25% (only score_spec described). The description adds detail about score_spec (title, bpm, time_signature, parts, beat-based notation). However, it does not describe output_path, velocity, or open_in_garageband, so it only partially compensates for low coverage.

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 converts an LLM-friendly JSON band score spec to a multi-track MIDI file and optionally opens it in GarageBand. It uses specific verbs and resources, and the mention of 'LLM-friendly JSON' distinguishes it from sibling tools like garageband_score_to_midi.

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?

No guidance on when to use this tool versus alternatives. Siblings include garageband_score_to_midi and garageband_tab_to_midi, but the description does not explain why to choose this one. No when-not-to-use or prerequisite information.

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