seo__ai_crawler_list
[搜尋引擎與 AI 爬蟲工具箱]AI 與搜尋引擎爬蟲 User-Agent 名單:業者、用途、是否遵守 robots.txt、官方 IP 清單。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| type | No |
[搜尋引擎與 AI 爬蟲工具箱]AI 與搜尋引擎爬蟲 User-Agent 名單:業者、用途、是否遵守 robots.txt、官方 IP 清單。
| Name | Required | Description | Default |
|---|---|---|---|
| type | No |
Changes observed during successful MCP inspections.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the behavioral burden. It discloses that the output is a list containing provider, purpose, robots.txt compliance, and official IP list, which is useful return-content context for a read-only lookup, but it does not state side-effect profile, auth needs, pagination, or filtering 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?
Single-sentence, front-loaded with a toolbox label and then the core payload. It is compact and avoids repetition, though the bracketed prefix is somewhat packaging rather than necessary instruction.
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 simple reference-list tool with no output schema and no annotations, the description identifies the returned fields but leaves the only input parameter and usage context unexplained. It is adequate to know what the list contains, but not complete enough to select it confidently over sibling crawler tools.
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%, and the single optional type parameter (enum: search, ai_search, train, user, optout) is not mentioned or explained in the description. The description does not compensate for the low schema coverage by clarifying what values filter which crawler categories.
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 names a specific resource – a list of AI and search-engine crawler User-Agents – and enumerates the included attributes (vendor, purpose, robots.txt compliance, official IP list). It is clear enough to distinguish a reference list from check/verify actions, though it does not explicitly name the closest siblings.
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 guidance on when to call this tool instead of seo__check_site_crawlers, seo__verify_crawler_ip, or llms__check_ai_crawler_access. Usage is only implied by the nominal list description, with no explicit context or exclusions.
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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