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 four security postures and that paths/Sitemap can be added, but never says whether output is returned as text or written to a file, nor any permission/limit considerations. Adequate but incomplete for an unannotated generator.

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: category tag, then verb+resource, then mode list and optional params. No filler, though the bracketed toolkit label is marginally redundant.

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 3-param generator with no output schema and no annotations, the description covers the modes but omits output form and disallow/sitemap formatting, so an agent still lacks enough to call it confidently with all parameters.

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 coverage is 0%, so the description must compensate. It glosses the mode enum values and clarifies block_training, and maps '可加不抓路徑與 Sitemap' to the disallow and sitemap params, but gives no format details (multiple paths, URL syntax), leaving gaps.

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 (產生/generate) and resource (robots.txt), and enumerates the four output modes, which makes the tool's function concrete. It does not name the natural sibling (seo__test_robots_txt) to disambiguate generate-vs-validate, so it stops short of 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 mode list implies the use cases (e.g. block_training 封鎖 AI 訓練保留搜尋), which helps pick a mode. However there is no explicit when-to-use guidance nor any exclusion pointing to seo__test_robots_txt or llms__generate_llms_txt as alternatives.

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