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llms__check_ai_crawler_access

[llms.txt 檢查工具]讀取網站 robots.txt,回報 GPTBot、ChatGPT-User、ClaudeBot、Claude-User、PerplexityBot 等 13 種 AI 爬蟲是被允許還是封鎖。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full load, but 'reads robots.txt' does convey that this is a non-mutating lookup and it names the scope (13 crawler user-agents). It omits edge-case behavior such as what is reported when robots.txt is absent or unreachable, or whether requests are rate-limited.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

One front-loaded sentence with the output scope (allow vs block per crawler) stated immediately and no filler. The bracketed '[llms.txt 檢查工具]' tag is mildly redundant with the tool name but does not bloat it.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema and no annotations, so the description must be complete on its own; it does say the result is a per-crawler allowed/blocked report, which is the key return shape. Missing the meaning of the url argument and the missing-robots.txt case leaves gaps for a tool this simple.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% and the single 'url' parameter has no description anywhere. 'Reads the website robots.txt' hints the url is a site URL, but it is ambiguous whether a full robots.txt path, a page URL, or a bare domain is expected – the description should resolve this and does not.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a concrete verb (reads robots.txt) and resource (AI crawler allow/block status) and enumerates the crawlers checked (GPTBot, ClaudeBot, etc.), so the agent knows exactly what comes back. It does not, however, distinguish itself from near-identical siblings such as seo__check_site_crawlers or seo__test_robots_txt.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No when-to-use, when-not-to-use, or alternative-tool guidance is given. The description never tells the agent why it would pick this over seo__check_site_crawlers or seo__test_robots_txt.

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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