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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is fully covered by structured data. The description adds only the output cardinality (3-6 options), a modest but real piece of behavioral context, with no contradiction.

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?

A single front-loaded sentence with no filler; the key action and the exploratory intent come first. It is well-sized, though it uses its brevity at the cost of parameter explanation.

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?

No output schema exists, but the description at least communicates the return cardinality and the non-committal exploratory role. With three parameters at 0% schema coverage, the omission of any 'kinds' or 'prompt' semantics leaves a meaningful gap for 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 description coverage is 0%, so the description carries the full burden, yet it explains nothing about the 'prompt' or 'kinds' parameters. Its only numeric detail (3-6) merely restates the schema's own minimum/maximum on 'limit', adding no meaning beyond structured fields.

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 gives a specific verb ('Return') and resource ('visually relevant Watermelon UI options') and even quantifies the output ('3-6'), so the agent knows what it gets back. It does not explicitly differentiate itself from siblings like search or list_catalog_entries, which is the only thing keeping it from a 5.

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 phrase 'before choosing an implementation' implies the tool is a preliminary exploration step, which is useful implied guidance. However, it names no alternatives and gives no explicit when/when-not conditions, so an agent must infer how this differs from search or get_component.

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