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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real value beyond them: the response format (header row + data rows) and the available:false convention for one-size items, framed as a well-formed signal rather than an error, which pre-empts a false error path.

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?

Three tight sentences, front-loaded with the resource and output shape, then the edge case, then the parameter provenance. No filler; every clause adds information.

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 an output schema present, the description need not document return fields, yet it still explains the meaningful available:false case. Combined with the style_code provenance note, an agent has nearly everything needed; only an example style_code format is absent.

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 0%, so the description must carry the single parameter - and it does, explaining that style_code is the identifier obtained from gucci_search's or gucci_category's own style_code field. That is exactly the missing link an agent needs, though it gives no format example.

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 verb and resource: it returns "Gucci's own size-conversion chart for one product style." It also names the exact shape (header row plus data rows), which distinguishes it from generic product tools and from sibling size-chart tools like jcrew_size_chart that belong to a different brand.

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?

It tells the agent when this returns meaningful data (only some styles carry a chart) and, crucially, where the required style_code comes from (gucci_search or gucci_category). It stops short of an explicit when-to-use-vs-sibling statement, but the context is clear enough to select and call it correctly.

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