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gomessoaresemmanuel-cpu

linkedin-prospection-mcp

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    TDQS

    A3.9/5.0

    Scored across 7 tools

    Disambiguation4/5

    Tools are generally distinct, though `qualify_leads` and `score_lead` serve similar scoring functions (batch vs. individual). The `personalize_message` tool generates content without sending, which could be confused with messaging actions embedded in `run_pipeline`, but descriptions clarify this adequately.

    Naming Consistency5/5

    All tools follow a consistent verb_noun pattern in snake_case (find_leads, manage_lead, run_pipeline, etc.). The vocabulary is domain-appropriate and predictable throughout the set.

    Tool Count4/5

    Seven tools is appropriate for a LinkedIn prospecting domain, falling within the ideal range. Slight redundancy exists between individual (`score_lead`) and batch (`qualify_leads`) scoring operations, but each earns its place for different workflow patterns.

    Completeness3/5

    Notable gaps exist: no `get_lead` or `list_leads` to read individual pipeline entries, and no standalone `send_invitation` or `send_dm` tool (sending only available through the automated `run_pipeline`). Agents can work around these using `get_pipeline_status` and `run_pipeline`, but granular control is missing.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues