depop_brands

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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does disclose that the tool is a public lookup, returns a full catalog rather than search-filtered subset, and provides the exact returned fields, which is meaningful transparency. It does not mention pagination or output size, but those are secondary for a zero-parameter lookup.

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 compact at two sentences and leads with the core result before expanding on the differentiator. There is some repetition of 'Depop's full brand directory,' but the second sentence earns its place by explaining the search-endpoint use case and data source.

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 zero-parameter, no-output-schema brand directory tool, this description is quite complete: it identifies the payload fields, the scope, the public source, and the main motivating use case. It does not provide pagination or response structure details, but the intended use is clear enough for an agent to confidently invoke it.

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 input schema has no parameters and 100% schema description coverage, so there is no ambiguity for the description to resolve. Per the rubric, zero parameters earns a baseline of 4; the description handles this well because it relies on the empty schema rather than inventing meaning.

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 tool Returns Depop's full brand directory along with its fields (id, name, slug), so the agent knows exactly what resource is being fetched. It also distinguishes itself from the search tool by explicitly noting it is not limited to brands with active listings, which helps disambiguate it from related depop and marketplace directory tools.

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 gives clear context for when to use it: when the agent needs the full brand list or needs to resolve the search endpoint's opaque brand_ids into readable names. It does not explicitly name an alternative tool such as depop_search or state a firm when-not-to-use rule, but the contrast with 'brands with active listings for a given search' makes the intended use reasonably clear.

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