web-scraper-server
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TDQS
Scored across 62 tools
Multiple overlapping tool pairs exist, such as `screenshot` vs `browser_screenshot`, `click_element` vs `browser_click`, `get_sitemap` vs `crawl_site`, and `save_pdf` vs `download_file`. The split between browser-based and non-browser-based workflows adds confusion, forcing agents to choose between near-equivalent tools based on session state.
Tool names are predominantly snake_case with a verb_noun convention (`scrape_url`, `get_metadata`, `list_jobs`). The `browser_` prefix provides a consistent subgroup, and most deviations are minor (e.g., `health_check` instead of `check_health`). Long diagnostic tool names are slightly awkward but still follow the general pattern.
With 62 tools, the server far exceeds a coherent scope. Many tools are highly specialized diagnostics or configuration variants that could be consolidated. The sheer volume makes the surface overwhelming and dilutes the clarity of the core scraping workflow.
The tool set covers the full web scraping lifecycle: URL validation, fetching, content extraction, crawling, browser automation, job scheduling, configuration, caching, session management, and diagnostics. No major scraping capability appears to be missing, making the server functionally comprehensive.