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

With no annotations, the description carries the full burden. It discloses the scope of content (disclosure obligations, advertiser penalties, joint liability), which is useful, but never states that this is a static reference lookup returning textual regulation summaries, nor whether it is read-only or has any side effects. The topic list is informative but the behavioral profile is incomplete.

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 tight sentence with no filler. The bracketed toolbox label is a category tag that adds mild context at little cost, but it is arguably the only non-essential element.

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 zero-argument knowledge tool with no output schema and no annotations, the description conveys the subject matter but says nothing about the shape of the returned content (e.g., a text summary vs. structured rules). It is adequate but leaves the agent to guess the return form.

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?

The tool takes zero parameters, so the baseline is 4. There is nothing for the description to clarify beyond the empty schema, and it correctly implies no inputs are needed.

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?

Names a specific resource (台灣公平會薦證廣告規範) and enumerates the three topics covered (揭露義務、廣告主罰則、網紅連帶責任), so the agent knows exactly what reference content to expect. The verb is only implied (it returns/explains rules) and it does not explicitly distinguish itself from the sibling creator__check_ad_claims, so it stops short of 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?

There is no when-to-use or when-not-to-use guidance, no trigger conditions, and no mention of the closely related sibling creator__check_ad_claims. The agent must infer usage entirely from the domain label.

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