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

Annotations already indicate readOnlyHint=true and destructiveHint=false. The description adds useful behavioral context: the operation is public, returns resolved values used for rendering, and explains the meaning of branding_enabled with the 'wears its costume' metaphor. No contradiction with 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 compact and front-loaded: the first sentence states the core action and return fields, and the second sentence gives usage and visibility context. The costume metaphor is slightly playful but effectively clarifies branding_enabled without bloating the text.

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 a one-parameter schema and no output schema, the description carries the burden of explaining what the response contains. It lists the output components and the meaning of branding_enabled, and gives a practical usage note. It is complete enough for an agent to invoke the tool and interpret its result correctly.

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% for the only parameter, event_slug, with 'Slug of the event.' The description does not add further parameter-level detail, and none is needed given how simple the schema is. Baseline 3 is appropriate.

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 'Read an event's white-label branding' and enumerates the exact fields returned: brand colours, public-page theme, dedicated subdomain, resolved rendering values, and branding_enabled. It is specific enough to distinguish this from broad getters like event_get and from other event-related tools.

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?

It gives an explicit usage context: 'Use it before event_set_branding to see what is already set.' It also notes the tool is public because the data is already visible on the event page. It stops short of stating when not to use it or comparing it to specific sibling alternatives.

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