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MCP Server with OpenAI Integration

by code-wgl

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    TDQS

    B3/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools have clearly distinct purposes: knowledge_search retrieves information from a knowledge base, while text_summarizer condenses provided text. There is no overlap in functionality, and an agent would easily differentiate between them.

    Naming Consistency4/5

    Both tools use snake_case naming, which is consistent. However, knowledge_search follows a noun_verb pattern (knowledge_search), while text_summarizer uses a noun_verb pattern with a suffix (text_summarizer), showing a minor deviation in naming style.

    Tool Count2/5

    With only 2 tools, the server feels thin for an 'OpenAI Integration' purpose, which typically implies broader capabilities like text generation, translation, or analysis. This limited set may not adequately cover the expected scope.

    Completeness2/5

    Given the server's name suggests OpenAI integration, there are significant gaps: no tools for text generation, translation, sentiment analysis, or other common LLM tasks. The surface is incomplete, likely causing agent failures for broader use cases.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues