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agentic-linkedin

by DarkLvrd
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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

    B3.2/5.0

    Scored across 39 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action, with clear separation between posts, comments, reactions, messages, connections, profile editing, skills, session management, and voice profile operations. Even similar-sounding tools like react and react_to_message are clearly differentiated by their target.

    Naming Consistency3/5

    The dominant pattern is snake_case verb_noun (create_post, send_message, get_profile), but there are several bare verbs like comment, react, connect, follow, login, plan, approve, and reject, plus non-verb names like session_status and dry_run. The mixed conventions are still readable and not chaotic, but they are inconsistent enough to prevent a higher score.

    Tool Count2/5

    39 tools is well beyond the 25-tool threshold where a tool set starts to feel heavy. While the domain is broad—covering posts, messaging, connections, profile management, voice, and approval workflows—the sheer count makes it difficult for an agent to efficiently select among many highly specialized operations.

    Completeness4/5

    The surface covers core LinkedIn lifecycles well: posts can be created, read, edited, and deleted; messaging has send/recall/history; connections have invite/respond/remove/follow; and profiles support updating, skills management, and endorsements. Minor gaps exist—comments cannot be edited or deleted, reactions cannot be removed, and media/post attachments are unsupported—but these are workable limitations rather than fatal dead ends.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources