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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered; the description earns credit for adding non-obvious traits: a hard throttle of 5 requests/minute and a page size of 1,000. The endpoint disclosure (POST /products/getBrands) is useful context for a read that uses POST, though it doesn't state auth requirements or total-count 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 front-loads the resource and returned fields, then tacks on the two operational facts that matter (rate limit, page size). Nothing is padded and nothing essential is buried.

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 only three optional, fully described parameters and a read-only annotation set, the description covers what an agent needs: what is returned, how large pages are, and the throttling constraint. It falls short only on credential/setup expectations and on reconciling the page-size figure with the schema's page/window model.

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 coverage is 100%, so page/skip/limit semantics and their chaining rules are already documented, making 3 the baseline. The description's '1,000 per page' adds mild framing but sits slightly at odds with the schema's 'limit 1-500' and 'pages hold 1,000-10,000 rows', which the description does not reconcile.

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 names a specific verb and resource ('List the brands created in SkuVault') and even enumerates the returned fields (Name, IsEnabled). The resource is unambiguous against siblings like skuvault_list_classifications or skuvault_list_suppliers, so an agent can pick it without opening the schema.

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?

Usage is only implied by the resource name — there is no statement of when to choose this over alternatives (e.g., to resolve brand IDs before filtering products) or any prerequisite/credential guidance. The operational note about throttling helps the agent plan calls but does not tell it when this tool is the right one.

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