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

Annotations already declare readOnly, idempotent, non-destructive and closed-world, so the safety profile is covered. The description adds value the annotations don't: it discloses the store/region scope and that each result carries a product count — important since there is no output schema. It does not mention ordering or whether zero-product brands are included.

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 tightly packed sentences with no filler; the resource and its return content are front-loaded before the tool-chaining hints.

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 no output schema, the description usefully hints at the return payload (brands with product counts) and provides the integration path to sibling tools. Only minor gaps remain, such as result ordering and handling of brands with no products.

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% and the single parameter already has an example, so the schema does the heavy lifting. The description still adds linkage meaning — that the category value must be a slug sourced from list_categories — which the schema alone does not convey.

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 resource (brands sold at Baqer Store in Iraq) and what comes back (product counts), plus an optional category scope. It is clearly separable from list_categories (which supplies the slug) and search_products (where the brand value is consumed).

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 routes the agent both upstream (category slug comes from list_categories) and downstream (feed the brand into search_products as "brand"). It never explicitly says 'use this to discover valid brand values before searching,' but the cross-references make the intended workflow inferable.

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