create_brand

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

Annotations only include openWorldHint=false, so the description carries the burden of behavioral disclosure. It does add useful traits: brands are hierarchical, can have images, and are assigned via update_product. However, it does not disclose return behavior, idempotency, duplicate handling, or permission requirements, leaving gaps for a mutation tool.

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 three short sentences with no filler. It front-loads the primary action, then adds relationship and workflow context, with every sentence earning 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?

With 6 parameters and no output schema, the description is missing some contextual details such as return value shape and error conditions. However, the schema covers parameter semantics, and the description provides essential relationship context. It is minimally viable but not fully complete for an agent invoking a create operation.

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%, establishing a baseline of 3. The description adds meaning beyond schema property descriptions by explicitly noting that brands are hierarchical and can have images, which enriches the purpose of the 'parent' and 'image' parameters. It does not detail 'fields' or 'slug', but the schema already describes those adequately.

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 opens with the specific verb+resource pair 'Create a product brand,' making the tool's purpose unmistakable. It also adds distinguishing context about hierarchy and images, and mentions the assignment workflow via update_product, which separates it from brand-related siblings like update_brand or delete_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?

The description explicitly states that products are assigned to brands via update_product with a brands array, giving clear cross-tool guidance on how to use this tool in a workflow. It does not explicitly name update_brand as the alternative for modifying existing brands, but the context is clear enough for an agent to infer the distinction.

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