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mcp-narajangteo

by Datajang
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Python

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    Deploy Server
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    TDQS

    A4.2/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose with no overlap. analyze_bid_detail focuses on document extraction and analysis, get_bids_by_keyword performs general keyword searches, and recommend_bids_for_dept provides personalized recommendations based on department context. The boundaries are well-defined and unambiguous.

    Naming Consistency5/5

    All three tools follow a consistent verb_noun pattern with clear, descriptive names: analyze_bid_detail, get_bids_by_keyword, and recommend_bids_for_dept. The naming convention is uniform throughout the set, making it easy to understand each tool's function at a glance.

    Tool Count4/5

    Three tools is appropriate for this government procurement domain, covering search, analysis, and recommendation workflows. While slightly minimal, each tool serves a distinct and valuable purpose, and the count aligns well with the server's focused scope on Korean procurement notices.

    Completeness4/5

    The toolset covers core workflows effectively: searching bids, analyzing bid details, and providing personalized recommendations. Minor gaps exist, such as the lack of tools for bid submission or tracking, but the available tools enable agents to perform essential procurement analysis tasks without significant dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

    Resources