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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety and open-catalog scope are covered structurally. The description adds useful behavioral context — scope of the catalog and the shape of results (normalized summaries plus total count) — but since an output schema exists, the return description is largely redundant and it omits pagination behavior.

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?

A single dense sentence that is well front-loaded: operation first, then filters, then the return shape. It is long but every clause conveys a distinct dimension (query, facets, catalog scope, result contents), so waste is minimal.

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?

With 22 optional params, an output schema, and readOnly/openWorld annotations, the fixed structured fields carry the detail. The description complements them by naming the catalog scope and the returned summary fields, making it complete enough for an agent to invoke correctly; only explicit sibling routing is missing.

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 the schema already documents all 22 parameters in detail (allowed values, defaults, cross-references to other endpoints). The description's facet list re-summarizes what the schema provides. Baseline 3 is correct when the schema does the heavy lifting.

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?

States a specific verb (search/browse), the exact resource (GOAT sneaker/streetwear/collectibles catalog), and enumerates the facet surface, so an agent knows precisely what this does. It does not explicitly name or distinguish itself from near siblings like goat_curated, goat_collection, or goat_suggest, so it stops at 4.

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 phrase 'free-text query and/or facet filters' implies the two usage modes (text search or pure facet browse), which is helpful, but there is no explicit when-to-use/when-not or named alternative such as goat_suggest for autocomplete or goat_curated for editorial browsing. Usage is implied rather than guided.

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