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Scored across 11 tools
Most tools target distinct resources: raw transcript (get_transcript), records/events (list_records, get_record), projects (list_projects, get_project), and derived artifacts (todos, day_summary, insights, memories, recorder_status). There is minor overlap: get_record also accepts P (project) IDs while get_project exists, and todos overlaps with both list_records(kind=notes) and day_summary, which also surfaces todos and commitments. Descriptions mostly resolve these, but an agent could plausibly pick the wrong one for 'what did I promise'.
Half the set follows a clean verb_noun pattern (list_records, get_record, get_transcript, list_projects, get_project), but the rest are bare nouns or verbs (search, todos, day_summary, insights, memories, recorder_status). Each name is still readable and self-explanatory, so this is mixed convention rather than chaos.
11 tools is well within the healthy range and each maps to a distinct query surface of a personal recording/memory app: time-ranged listing, single-record fetch, transcript, keyword search, todos, projects, daily summary, weekly insights, long-term memories, and recorder status. Nothing feels padded or redundant enough to drop.
The read/retrieval lifecycle is well covered: discover (list_records, search, list_projects), drill down (get_record, get_transcript, get_project), and synthesize (todos, day_summary, insights, memories), plus operational status. Gaps are minor and likely intentional: no write/mutation operations (edit a todo, correct a memory), and no way to jump from an insight or memory entry back to its source event in one call.