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

Annotations already declare readOnlyHint=true, so the safe read nature is covered. The description adds valuable behavioral context by specifying that the default result is popular brands and that a query triggers a brand-name search, which goes beyond the structured annotations.

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?

The description is two sentences long, front-loads the core purpose, and contains no filler. Every clause earns its place: scope, examples, default behavior, and query behavior are all communicated efficiently.

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 simple read-only listing tool with no output schema, the description covers the key behavior: what it lists, the default vs. search modes, and the scope of brands. It is complete enough for an agent to call correctly, though it could briefly mention pagination or directing users to get_brand_products for product-level queries.

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 fully explains all four parameters. The description adds minor semantic context by tying the default sort to 'most popular' and explaining that query searches brand names, but this is not substantial enough to exceed the baseline.

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 clearly identifies the tool as listing brands sold by Camden Tools, with specific brand examples (DeWalt, Makita, Milwaukee, Bosch, Stanley). It also explains the two modes: returning popular brands without a query and searching brand names with a query, making the tool's purpose unmistakable.

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 implies usage context: use without a query for popular brands, use with a query to search brand names. However, it does not explicitly contrast with sibling tools like get_brand_products or list_products, so the when-not-to-use guidance is absent.

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