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fairquery-web

fairquery-web

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    • A
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      Enables AI agents to check whether a public website is crawlable, understandable, and ready for AI search workflows through local-only audits of robots.txt, sitemaps, metadata, and llms.txt.
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    TDQS

    A4.7/5.0

    Scored across 8 tools

    Disambiguation4/5

    Each tool has a distinct primary purpose and the descriptions include explicit WHEN TO USE / WHEN NOT TO USE cross-references, which sharply reduces misselection. The main overlap is that web_seo_audit bundles robots.txt/llms.txt, AI-bot access, sitemap and technology detection that four single-purpose tools also cover, but the guidance redirects agents correctly.

    Naming Consistency5/5

    All eight tools use a consistent web_<noun_phrase> snake_case pattern (web_seo_audit, web_tech_stack, web_sitemap_info, etc.) with no style mixing. The prefix cleanly scopes the family and verbs/nouns are predictable.

    Tool Count5/5

    Eight tools is well-scoped for a web auditing server: one bulk tool, one diff tool, and six focused single-purpose checks. No tool feels redundant or out of place.

    Completeness4/5

    The surface covers reachability, on-page SEO, security headers, tech stack, sitemap, AI-crawler access, bulk audit and snapshot diffing, giving a coherent lifecycle with snapshot storage feeding comparison. Minor gaps remain (e.g. no explicit link/backlink or content-extraction tool), but agents can work around them.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing