Crawlora MCP
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TDQS
Scored across 1873 tools
The tool set is dominated by dozens of near-identical brand-prefixed families (shopify_product, allbirds_product, rothys_product, etc.) that differ only by the pinned domain, plus overlapping generic search engines (google_search, bing_search, brave_search, duckduckgo_search, yahoo_search). An agent cannot easily distinguish which of the many repetitive tools to call without reading long descriptions.
Naming is largely consistent as {domain}_{resource} in snake_case (adidas_product, capterra_search, kalshi_market). Minor deviations exist such as singular/plural inconsistency (apple_maps_guide vs apple_maps_guides, opensea_collection vs opensea_collections) and a few standalone verbs (extract, web_scrape), but the overall pattern is predictable.
1873 tools is an extreme count that no agent can reasonably navigate or evaluate. The server is an unbounded scrape-everything aggregator rather than a scoped tool surface, and the sheer volume makes tool selection a serious cognitive burden.
Individual domain families often have deep coverage (search, product detail, reviews, stores, sitemaps), but coverage is uneven across brands—some families are missing companion tools (e.g., recommendations, sitemap URLs) that others have. The sprawling scope makes it impossible for an agent to know whether any given domain's surface is complete, so it will frequently discover gaps only after failed calls.