device_type_census

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

With no annotations provided, the description carries the behavioral disclosure burden and explicitly marks the operation as 'Read-only.' It also describes what the output contains (counts, names, volume range), giving the agent a clear picture of the tool's behavior without needing an output schema.

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 with no filler. It conveys the purpose, output contents, and read-only nature efficiently, earning 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?

This is a simple tool with one optional parameter, no required parameters, and no output schema. The description covers the output content and declares read-only behavior, while the schema fully handles response_format. Nothing essential is missing for correct selection and invocation.

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 single optional parameter response_format is fully documented in the schema with an enum and default value, so the description does not need to add parameter-level detail. The description adds no extra parameter semantics, but the schema already provides complete coverage.

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 action and resource: a census of available Spotify devices grouped by type, with counts, names, and volume range per group. This clearly differentiates it from sibling tools like get_devices or compare_devices by emphasizing aggregation and grouping.

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 clearly implies when to use it: whenever a grouped summary of devices by type is needed. It does not explicitly name alternatives or exclusions, but the census/grouping framing provides enough context for an agent to select it over a raw device-list tool.

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