ab-test-sample-size-calculator-mcp
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TDQS
Scored across 5 tools
Each tool has a distinct primary purpose: sample sizing, duration planning, significance testing, exact contingency tests, and peeking-risk analysis. There is minor overlap because test_ab_significance also returns Fisher exact p-values for 2x2 tables, which could cause confusion with fisher_exact_test. However, fisher_exact_test is clearly positioned for general and larger contingency tables.
Four of five names follow a clear verb_noun pattern: calculate_sample_size, estimate_test_duration, test_ab_significance, and check_peeking_risk. fisher_exact_test is a noun phrase rather than verb-led, a minor deviation in an otherwise consistent snake_case convention.
Five tools is well-scoped for a focused A/B testing statistics server. Each tool covers a distinct stage of test planning or analysis without unnecessary fragmentation.
The surface covers the core A/B testing lifecycle: sample size calculation, duration estimation, result significance, exact tests for small or multi-arm tables, and peeking/sequential risk. No obvious operational gaps remain for the stated statistical domain.