llms.txt 生成

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

No annotations exist, so the description must cover behavioral traits. It describes the tool as generating text with no side effects mentioned, but lacks information on permissions, rate limits, or whether the generation is read-only. Adequate but 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?

The description is concise, fitting into a few sentences with no redundant words. However, it could be slightly more structured (e.g., separating purpose from usage). It earns a 4 for efficiency.

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?

With no output schema, the description should explain what the tool returns (e.g., the generated text content). It only mentions the output's purpose (placement at /llms.txt) but not the response format. This is a significant gap for a generation tool.

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?

100% of parameters have descriptions in the schema, so the description adds little beyond what the schema already provides. The description restates the free-text nature of parameters but does not add deeper semantics or examples.

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 clearly states that the tool generates an llms.txt file following the llmstxt.org proposal, for conveying site overviews to AI/AI search. It also mentions the same logic as an external site, distinguishing it from the unrelated sibling tools.

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 description implies usage by stating the generated text should be placed at /llms.txt, but it does not explicitly specify when to use this tool versus alternatives or mention any exclusions. Sibling tools are distinct, so confusion is minimal.

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