volume_report

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

With no annotations, the description carries the full behavioral burden and succeeds: it explicitly declares read-only status, discloses the underlying call (GET /me/player/devices), and quantifies cost (🟢 1 read). The 'sidecar presets vs live deltas' phrasing also reveals the comparison behavior. It stops short of covering edge cases like no active devices, but the safety/cost profile is clearly communicated.

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 tight sentences plus a quota tag: safety, scope, intent, and cost are all front-loaded with no filler. The emoji-qualified quota and inline endpoint add operational value without bloating the text.

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?

This is a low-complexity tool (one optional parameter, no required params, no output schema), and the description plus the well-documented response_format cover the essentials: what it reports, across what scope, and at what cost. The only notable gap is behavior when no devices are active, a minor edge case for an otherwise complete read-only report tool.

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%: response_format's enum values are each explained in the schema itself ('concise' = human prose, 'json' = raw API object). The description adds nothing about the parameter, which is acceptable at this coverage level, so the baseline of 3 applies.

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 names a specific verb and resource: a read-only 'volume snapshot across all devices', with explicit scope ('including sidecar presets vs live deltas') and a plain-language intent model ('what's the volume everywhere right now?'). It is clearly distinguishable from volume-control tools like set_volume, volume_step, and volume_ramp, though it does not explicitly name the closest sibling get_device_volume_report.

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 quoted intent phrase gives a usable trigger for when to call it, and the quota note ('1 read') communicates the cost. However, it provides no when-not-to-use guidance or routing against the many volume-related siblings (get_device_volume_report, compare_devices, get_devices), leaving the agent to infer boundaries.

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