No user-submitted related servers found.
Scored across 8 tools
Each tool has a clearly distinct purpose: health check, CRUD for study sets, results feedback, and learner notification. Even get_study_set and get_set_results are unambiguously separated—one retrieves content, the other study metrics. No two tools appear to do the same thing.
Most tools follow a verb_noun pattern (create_study_set, list_study_sets, update_study_set, delete_study_set, get_study_set, get_set_results). However, vocabit_health deviates from the verb-first style and notify_learner uses a non-set object, so the pattern is not perfectly uniform but remains predictable.
8 tools is well within the ideal 3-15 range and each earns its place in the set lifecycle. The count matches the server's scope—managing study sets with health check and notification—without redundancy or unnecessary bulk.
The tool surface covers the full lifecycle: create, read, update, delete, list, plus results feedback and learner notification. The feedback loop is closed by get_set_results informing update_study_set. Health check aids debugging. No obvious gaps that would cause agent failures.
