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extao15

garageband-llm-bridge

by extao15

garageband_run_plan

Execute a sequence of GarageBand actions from a JSON plan, with structured results per step.

Instructions

Execute a JSON sequence of GarageBand bridge actions with per-step structured results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
planYesA plan object with steps/actions, or a raw list of step objects. Each step has action and optional args.
stop_on_errorNo
Behavior2/5

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

With no annotations, the description should disclose behavioral traits. It mentions per-step results but not side effects, state changes, or what constitutes valid actions. The stop_on_error parameter is not described in the description.

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?

Extremely concise at 10 words, front-loaded with the main purpose. However, it sacrifices substance for brevity, missing important details.

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 no output schema and moderate complexity, the description is insufficient. It hints at per-step results but does not explain the structure of steps or actions, leaving the agent with incomplete understanding.

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

Parameters2/5

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

Schema coverage is 50%, but the description adds no extra meaning to parameters. The plan parameter's schema description is somewhat helpful, but stop_on_error lacks any explanation. The description does not compensate for the coverage 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 states the tool executes a JSON sequence of actions and returns per-step results. It differentiates from sibling tools by focusing on batch execution of a plan, though it doesn't explicitly contrast with them.

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?

No guidance on when to use this tool versus individual action tools, no mention of prerequisites or error handling context beyond the stop_on_error parameter.

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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