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

No annotations are provided, so the description carries the full behavioral burden. It discloses the checks performed and that the tool returns a score plus a prioritized fix list, which is useful output context, but it says nothing about read-only nature, permissions, rate limits, or failure behavior.

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 sentence that front-loads the toolkit context, purpose, and full checklist. The parenthetical list is dense but every item earns its place by telling the agent exactly what the audit covers; no filler words are present.

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 tool with no annotations, no output schema, and a single simple parameter, the description is largely complete: it names the target (webpage), the criteria checklist, and the output shape (score + prioritized fixes). It could optionally clarify how the checks are performed or what the fix list looks like, but nothing critical for invocation is missing.

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 schema has one required parameter ('url') with 0% description coverage, so the description must compensate. It only implies the parameter is the webpage to check ('檢查網頁') without specifying format, scope, or accepted URL forms, adding little beyond the schema field name.

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 verb phrase ('引用準備度健檢') and resource ('網頁'), and enumerates the exact criteria checked plus the output ('分數與優先修正清單'). It does not explicitly distinguish itself from sibling tools like llms__check_llms_txt or seo__check_site_crawlers, which check subsets of the same criteria.

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?

Usage is implied by the purpose: use when you want to know if a page is citable by answer engines like ChatGPT, Perplexity, or Google AI summaries. There is no explicit when-to-use, when-not-to-use, or named alternative tool; the agent must infer that this is a broad audit rather than a targeted single check.

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