generate_llms_txt
讀取網站首頁與 sitemap,自動產生 llms.txt 草稿。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
讀取網站首頁與 sitemap,自動產生 llms.txt 草稿。
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full behavioral burden. It usefully discloses that the tool fetches external resources (homepage and sitemap) and that the result is a draft rather than a finished file, but it says nothing about network/access requirements, whether it writes or returns the artifact, 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 compact sentence that front-loads the action and the inputs; nothing is wasted. Brevity is appropriate, though the small budget is spent on purpose rather than on the missing operational details.
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 one-parameter tool with no output schema, the description covers what it does but leaves the agent unsure what the draft result is (returned text vs generated file) and whether the target site must be publicly reachable. Adequate but with clear gaps.
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 single 'url' parameter has 0% schema description coverage, so the description must compensate. It implies the url is the site whose homepage and sitemap will be read, which adds minimal meaning, but gives no format, scope, or example (root URL vs full page URL).
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 ('自動產生 llms.txt 草稿') plus the mechanism ('讀取網站首頁與 sitemap'). This distinguishes it from the sibling tools check_llms_txt and validate_llms_txt, which check/validate rather than generate, though the distinction is implied rather than stated.
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 explicit guidance on when to use this tool versus check_llms_txt, check_ai_crawler_access, or validate_llms_txt. The generation intent is inferable from the verb, but no conditions, prerequisites, or exclusions are given.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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