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

Annotations already declare readOnlyHint=true, so the read-only nature is covered. The description adds value by stating what data the response includes (colors, logo, styling settings) and the purpose this serves, going beyond the bare annotation without contradicting it.

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 concise sentences pack the resource, scope, returned content, and a use case with no filler. The primary action is front-loaded.

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 single-parameter read tool with readOnlyHint and no output schema, the description is sufficient: it names the resource, the lookup key, the key returned fields, and the motivating use case. It could add explicit error/not-found behavior, but that is not necessary for basic correct invocation.

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 sole brand_id parameter is documented in the schema. The description does not add new parameter meaning, so it meets the baseline but no more.

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 action (get) on a specific resource (brand by ID) and enumerates the meaningful payload (colors, logo, styling settings), which distinguishes it from list_brands and brand mutation tools. The second sentence gives a concrete use case for interpreting templates.

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 clearly frames when to call this tool: when you need a brand's visual styling to describe what a referencing template will look like. It does not explicitly name alternatives or exclusions, but the single-brand-by-ID semantics and sibling set make the intended use obvious.

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