playwright-e2e-mcp
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TDQS
Scored across 11 tools
The tools form a clear pipeline (run-test → get-failure → suggest-fix) with distinct analysis tools (analyze-history for history, diagnose-flaky for re-running), so most purposes are separable. However, inspect-page vs validate-selector overlap (both surface live-page locators), and analyze-history's 'flaky' view vs diagnose-flaky could be confused by an agent unsure which layer to use.
Every name follows a verb_noun kebab-case pattern (run-test, get-failure, suggest-fix, list-tests, validate-selector, generate-e2e-test, compare-visual-state, diagnose-flaky, analyze-history, inspect-page, get-run-status). The only minor deviation is the compound verb in get-run-status, which is still readable and consistent.
11 tools is well within the sweet spot and each maps to a real step in the e2e workflow (run, inspect, diagnose, fix, scaffold, visual-check). Nothing feels padded or redundant at the count level.
The surface covers the full diagnose-and-fix lifecycle plus test generation, listing, selector validation and visual regression. Minor gaps exist: no explicit tool to manage/reset visual baselines or clean run artifacts, though agents can work around these.