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storyai

by jedikim
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    Deploy Server
    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 14 tools

    Disambiguation4/5

    Each tool targets a clearly distinct operation: search (find), read (get, outline), graph navigation (refs, trace, neighborhood), diagnostics (check, impact), and staged writes (ingest, propose, commit). Minor overlap exists between ingest/propose (both create proposals) and check/impact (both diagnostic), but the descriptions draw clear boundaries.

    Naming Consistency3/5

    Naming is mixed: most tools use imperative verbs (get, find, check, commit, propose, ingest, trace, query), but several are nouns or abbreviations (outline, promises, refs, neighborhood, graph_schema). The pattern is readable but inconsistent across verb and noun conventions.

    Tool Count4/5

    14 tools is on the higher end but reasonable given the rich domain of narrative graph management, continuity diagnostics, foreshadowing, and staged write workflows. Each tool appears to earn its place, though the count leans toward the heavy side of the ideal range.

    Completeness4/5

    The surface covers the full lifecycle well: reading (get, outline), search (find, query), graph navigation (refs, trace, neighborhood), schema introspection (graph_schema), diagnostics (check, impact), and staged writes (ingest, propose, commit). Minor gaps exist (no explicit delete/rollback tool, no direct promise mutation), but the workflow demonstrates no dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources