apply_volume_plan

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

With no annotations provided, the description carries the full disclosure burden and does meaningful work: it reveals the tool is mutating (via 'apply'), that it is non-mutating by default ('Preview by default'), and that it acts per-device over the API. This is substantial behavioral context, though it does not cover failure handling, requirements for active/volume-capable devices, or what the apply mode actually returns.

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?

Two sentences with zero filler: the first front-loads the action, resource, scope, and API mechanism; the second states the critical default behavior. Every clause earns its place.

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 description is adequate for a moderate-complexity tool with fully documented parameters, and it covers the key preview-by-default behavior. But with no output schema and no annotations, it leaves gaps: there is no mention of what apply mode returns, no relationship to the sibling plan_volume_level_across_devices, and no guidance on prerequisites like active devices.

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 100%, so all four parameters are already well documented in the schema. The description adds minimal parameter-level value: 'all (or selected)' restates the device_ids default and 'pass dry_run=false to apply' restates the dry_run semantics, so it stays at the baseline 3.

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 states a specific verb ('Set'), a precise resource ('one target volume level across all (or selected) Spotify devices'), and the mechanism ('per-device PUT /me/player/volume'). This inherently distinguishes it from single-device siblings like set_volume and planning-only tools like plan_volume_level_across_devices.

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 phrasing 'across all (or selected) Spotify devices' implies the tool is for multi-device volume setting, and 'Preview by default' hints at a plan-then-apply workflow. However, no alternative tools are named and there are no explicit when-to-use vs when-not-to-use conditions, leaving the agent to infer the decision boundary between this tool, set_volume, and plan_volume_level_across_devices.

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