set_music_volume
Set Apple Music volume to a specific level from 0 to 100.
Instructions
Sets Apple Music volume (0 to 100)
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| volume | Yes | Volume level |
Set Apple Music volume to a specific level from 0 to 100.
Sets Apple Music volume (0 to 100)
| Name | Required | Description | Default |
|---|---|---|---|
| volume | Yes | Volume level |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are present, so the description is the only source of behavioral disclosure. It states the effect (sets volume) and the range, but does not disclose side effects, prerequisites, or whether the volume is absolute or relative. This is adequate for a straightforward setter but lacks depth.
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, front-loaded sentence consisting of exactly 7 words. It conveys the purpose and range without any wasted words or fluff. Ideal conciseness.
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?
For a simple tool with one scalar parameter and no output schema, the description is sufficient. It names the target, the action, and the valid range. It could mention prerequisites like 'Apple Music must be playing', but the lack of such detail is not a major gap for this complexity level.
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?
The schema provides a full description of the 'volume' parameter with type, min, max, and a 'Volume level' description (100% coverage). The tool description adds the '0 to 100' context, but this duplicates schema constraints. No additional semantic depth is provided beyond the schema.
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 action ('Sets'), the target resource ('Apple Music volume'), and the valid range ('0 to 100'). This distinguishes it from sibling music controls like play/pause/skip and get_music_state.
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 implies when to use it: whenever the user wants to adjust Apple Music volume. It does not explicitly mention alternatives or exclusions, but there is no other volume-setting sibling tool, so context is clear enough for a simple setter.
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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