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Scored across 5 tools
Each tool maps to a distinct stage or question: dataset familiarization, classical item/form statistics, DIF screening, pairwise local dependence, and standard-setting aggregation. There is no meaningful overlap even between the two compute_* tools, since one is per-item/per-form and the other is item-pair based.
All tool names use a consistent verb_noun or verb_adjective_noun snake_case pattern: describe_dataset, compute_classical_stats, flag_dif, compute_local_dependence, run_standard_setting. The naming clearly signals both the action and the target with no mixing of conventions.
Five tools is a well-scoped size for a psychometrics analysis server. Each tool covers a substantial area of the workflow without bloat or unnecessary fragmentation.
The core classical psychometric workflow is well covered: data description, item analysis, DIF, local dependence, and standard setting. The one notable gap is IRT calibration, which the bookmark method explicitly depends on but the server does not provide; this is a real but workable limitation.