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ndunl075

Alfred

by ndunl075
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Python
Local

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    B3.4/5.0

    Scored across 33 tools

    Disambiguation4/5

    Most tools target a distinct action (search vs remember vs correct; propose vs commit; status vs records). The reminder family (reminder_set, nag_until_done, important_date_set, task_schedule) and status tools (system_status vs connector_status) create mild boundary overlap, but detailed descriptions make selection feasible.

    Naming Consistency2/5

    Naming conventions are mixed: many tools are noun_verb (important_dates_get, connector_records_get), while others are verb_noun (task_complete, calendar_event_propose), bare verbs (remember, forget), or noun-only (system_status, connector_status). This inconsistency makes the surface harder to predict.

    Tool Count2/5

    33 tools is above the 25+ threshold and feels heavy even for a multi-domain personal assistant. Several clusters (reminders, memory, status) could be consolidated without losing function.

    Completeness3/5

    Core lifecycles exist for memory, tasks, journaling, and composio, but calendar has create-only (no update/cancel), GitHub is limited to issue creation and PR listing, and task deletion is absent. Agents can complete common workflows but will hit gaps on updates and cancellations.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources