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Mohammed-Jameal-J

NewsBlog Composer MCP

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    TDQS

    A4.1/5.0

    Scored across 18 tools

    Disambiguation4/5

    Most tools have clearly distinct roles in a stepwise pipeline, and descriptions explicitly differentiate overlapping tools (e.g., score_ai_text vs find_ai_words, review_draft vs humanize_text). A few pairs—like the AI-detection tools and the profile-management tools—could still be momentarily confused, but the guidance resolves the boundary. Overall, an agent can reliably select the right tool.

    Naming Consistency4/5

    Tool names are consistently snake_case and mostly follow a verb_noun or action-oriented pattern. Minor deviations like `capabilities`, `seo_keywords`, and `seo_audit` are noun phrases without explicit verbs, but they remain readable and predicable. The set is not chaotic.

    Tool Count4/5

    18 tools is slightly above the ideal 3–15 range, but each tool corresponds to a distinct step in a complete news-blog composition pipeline. Given the end-to-end workflow (verification, fact extraction, SEO, drafting, publishing pack), the count is justified. Nothing feels redundant or padded.

    Completeness5/5

    The surface covers the full lifecycle from profile setup and story discovery through verification, fact extraction, SEO, drafting, review, image generation, schema building, and final packaging. There are no obvious dead ends for composing and saving a news blog post. Optional tools like humanize_text are clearly marked, and every major operation has a corresponding tool.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues