MIT
olostep-mcp
by olostep
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TDQS
B3.2/5.0
Scored across 9 tools
Disambiguation3/5
There is significant overlap between tools like 'answers', 'google_search', and 'search_web' for web search functionality, and between 'scrape_website', 'get_webpage_content', and 'batch_scrape_urls' for content extraction. However, the descriptions help clarify some distinctions, such as AI-powered vs. parser-based search or single vs. batch scraping.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (e.g., 'create_crawl', 'get_webpage_content', 'scrape_website'), with only minor deviations like 'answers' (a noun alone) and 'google_search' (noun_verb). The naming is generally readable and predictable across the set.
Tool Count4/5
With 9 tools, the count is reasonable for a web data extraction and search server. It covers multiple aspects of the domain without being overwhelming, though some overlap suggests potential consolidation could refine the scope slightly.
Completeness4/5
The toolset provides comprehensive coverage for web search, content scraping, and URL discovery, including batch operations and autonomous crawling. Minor gaps might include more advanced filtering or data processing tools, but core workflows are well-supported without dead ends.
Maintenance
ActivityStale
ResponsivenessUnresponsive