automationnation-mcp
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TDQS
Scored across 18 tools
Most tools target a clearly distinct source and output (flights, hotels, jobs, images, videos, transcripts, ads), and descriptions do a good job separating them. However, three near-duplicate pairs require careful reading: get_app_reviews vs analyze_app_reviews, find_local_businesses vs find_uk_business_leads (UK superset), and check_ai_overview_citations vs check_ai_visibility.
All 18 names use consistent snake_case verb_noun form (search_flights, get_google_trends, find_local_businesses, check_ai_visibility). Verbs vary (search/get/find/check/analyze) but always lead with an action and describe the object, with get_run_results as a sensible utility name.
18 tools is slightly heavy but each maps to a distinct data source or action, so none feels redundant filler. It sits at the upper end of the comfortable 3-15 range without being bloated.
As a multi-source scraping/AI-visibility suite it covers flights, hotels, shopping, news, images, videos, jobs, trends, leads, ads, reviews and async retrieval via get_run_results, so most workflows have a path forward. A generic web-search scraper is the main gap, but it's largely mitigated by the news/images/videos/AI-overview tools.