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

Annotations already declare readOnlyHint=true and openWorldHint=true, so safety is covered. The description adds the content scope (schema.org fields, images, variants), but with an output schema present it does not need to, and it discloses nothing about rate limits, auth, or pagination.

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, zero waste: purpose first, constraint second. Everything is front-loaded and each sentence 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?

For a single-param detail tool with an output schema and safety annotations, the description covers what it does and where the input comes from. It is essentially complete, with only the sibling-relationship to balenciaga_product_variants left implicit.

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?

With schema coverage at 0%, the description carries the burden and does so meaningfully: it tells the agent the single 'url' parameter is a product URL sourced specifically from balenciaga_category or balenciaga_search. It adds real meaning beyond the bare 'string' type, though it omits format details.

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 (Get) and resource (normalized Balenciaga product detail) and enumerates the returned fields (schema.org name/SKU/price/availability, images, color variants). It distinguishes itself from the search/category siblings by being the terminal detail fetch, though it does not explicitly contrast with balenciaga_product_variants.

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 second sentence gives a clear prerequisite: 'url must come from balenciaga_category or balenciaga_search,' which establishes the workflow context. It lacks explicit when-not guidance or a direct comparison to balenciaga_product_variants, so it falls just short of full routing clarity.

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