Rank named options against weighted criteria and return the winner, full ranking, per-criterion breakdowns, methodology, weights used, and a plain-language explanation. Main tool. method defaults to weighted_sum (also weighted_product, topsis). 100% deterministic.

Score options against criteria when the score matrix is supplied separately. Returns the full normalized scored matrix + ranking, without the narrative winner explanation.

Test how robust the winner is to criteria-weight changes. Sweeps each weight +/- 'variation' (default 0.2) over 'steps' (default 10), recomputes the ranking, and reports a robustness score, the criteria most likely to flip the result, and flip points.

Head-to-head comparison of exactly two options. Returns the winner, score margin, how many criteria each option wins, and a per-criterion breakdown. Pass option_a/option_b (names) or a 2-element options array, plus criteria and scores.

List scoring methods (weighted_sum, weighted_product, topsis) with normalization details, score ranges, and when to use each.

Server health, version, and capabilities.