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apply_device_presets

Apply stored volume presets to Spotify devices, setting each device's volume to your preferred level in one action.

Instructions

Apply all stored per-device volume presets via PUT /me/player/volume.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dry_runNoPreview only: validate inputs and describe exactly what would change without performing it
response_formatNo'concise' = human prose, 'detailed' = more fields in prose, 'json' = raw API objectconcise
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It identifies the operation as a PUT mutation, but it does not state whether volumes are changed on multiple devices, whether presets apply only to active devices, whether the operation is reversible, or what happens when no presets exist.

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

Conciseness5/5

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

The description is a single front-loaded sentence with no filler. It names the action, the scope, and the endpoint concisely while remaining immediately scannable.

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?

For a mutating bulk operation with no annotations and no output schema, the description is thin. It omits the concrete effect on devices, the return/confirmation shape, and failure behavior, so an agent would have to infer or safely probe these details.

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

Parameters3/5

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

Input schema coverage is 100%, with clear descriptions for dry_run and response_format, so the baseline is 3. The description itself adds no parameter-level meaning beyond what the schema already provides.

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

Purpose5/5

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

The description states a specific action ('Apply all stored per-device volume presets') and identifies the exact resource/endpoint (PUT /me/player/volume). The 'all stored per-device' scope distinguishes it from siblings like list_device_presets, set_device_volume_preset, and apply_volume_plan, so an agent can select it without opening schemas.

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 is given about when to choose this tool over related siblings such as set_device_volume_preset, list_device_presets, apply_volume_plan, or plan_volume_level_across_devices. The action is implied by the name and description, but there are no explicit exclusions, prerequisites, or alternative selection criteria.

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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