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

With no annotations provided, the description carries the full burden and discloses key behaviors: it returns URLs, measured colors, fonts when detectable, up to 60 direct image links, and an industry list when industry_or_vibe is omitted. It does not explicitly state that the tool has no side effects, but as a reference tool the described behavior is transparent enough.

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 dense but mostly front-loaded with the core purpose, followed by usage instruction and conditional behavior. Some redundancy exists between '実在の公開サイト' and '日本で実際に公開されている', but every sentence contributes useful selection or invocation guidance.

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?

There is no output schema, so the description must explain return values; it covers URLs, measured colors, fonts, up to 60 image links, and the no-industry fallback. It also gives enough context for an agent to decide when to invoke it, though it could be slightly more explicit about exact output structure.

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 already documents both count and industry_or_vibe. The description gives helpful examples for industry_or_vibe and restates the omitted-industry behavior, but it does not add meaningful parameter semantics beyond the schema.

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 states a specific verb and resource: it fetches real public Japanese sites as design references before HP/LP/UI creation, returning URLs, measured colors, fonts, and free image direct links. It is clear about what the tool does, but it does not explicitly differentiate itself from sibling tools by name.

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 clearly says to use this before building HP/LP/UI and instructs that for image-requiring work '必ずこれを呼び' and place returned images in each section. It also explains the behavior when industry_or_vibe is omitted. However, it does not explicitly state when not to use it or compare it with sibling tools.

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