garageband_make_from_score_spec

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

With no annotations provided, the description must fully disclose behavior. It mentions creating MIDI, opening GarageBand, and optional actions, but lacks details on side effects, error handling, or requirements (e.g., GarageBand must be installed). It does not explain what happens with unsaved changes or whether existing files are overwritten.

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 sentence with no fluff and front-loads 'High-level recipe'. However, given the tool's complexity (17 parameters), it is too terse and lacks structure to efficiently convey the overall workflow.

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?

The tool has high complexity with 17 parameters, required nested objects, and no output schema or annotations. The description fails to explain how parameters interact, the format of score_spec, or the output consequences. An agent would be ill-equipped to invoke this tool correctly.

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 description coverage is 0%, and the description only mentions 'score_spec' as LLM-friendly JSON. The other 16 parameters (velocity, screenshot, export options, etc.) are not explained, leaving the agent to infer their meaning from names alone. This is insufficient for correct use.

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 accepts an LLM-friendly JSON band score spec, creates multi-track MIDI, opens it in GarageBand, and optionally screenshots and exports audio. This distinguishes it from siblings like garageband_make_from_tab or garageband_make_music.

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?

While the description mentions it's a 'high-level recipe', it provides no explicit guidance on when to use this tool versus alternatives, no context on prerequisites, and no exclusions. Sibling tools like garageband_make_from_score may have overlapping functionality, but no differentiation is offered.

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