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    • A
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      Enables AI assistants to monitor and analyze public opinion, trends, and news from multiple platforms, with support for RSS, keyword filtering, AI translation, sentiment analysis, and trend predictions via natural language conversation.
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      Enables AI clients to query and analyze aggregated multi-platform trending news through natural language, offering tools for trend tracking, sentiment analysis, similarity search, and other news intelligence tasks.
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      Enables AI-driven analysis of aggregated news and hot topics from 35+ platforms, providing tools for trend tracking, sentiment analysis, and similar-content retrieval through natural language conversations.
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      A real-time hotspot monitoring and news aggregation assistant that provides AI-powered analysis of trending topics across multiple platforms via the Model Context Protocol. It enables users to track news and receive automated notifications through various services like Telegram, WeChat, and Slack.
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    TDQS

    A3.7/5.0

    Scored across 27 tools

    Disambiguation2/5

    Multiple tools operate on overlapping news data, such as get_latest_news vs get_news_by_date and analyze_topic_trend vs analyze_sentiment, both of which provide trend analysis with similar parameters. The boundaries between these tools are not always clear, which could lead agents to misselect the wrong one.

    Naming Consistency5/5

    All tools follow a consistent snake_case verb_noun pattern (e.g., get_system_status, trigger_crawl, search_news, send_notification). There is no mixing of styles or unpredictable deviations, making the naming highly predictable.

    Tool Count2/5

    With 27 tools, the server exceeds the 25+ threshold for 'too many' tools. The broad scope of news aggregation, analysis, storage, and notification somewhat justifies the quantity, but the sheer number creates a heavy surface that can overwhelm agents when selecting the right tool.

    Completeness4/5

    The tool set provides end-to-end coverage of the core workflow: crawling, syncing, retrieving, searching, reading, analyzing, aggregating, comparing, and sending notifications. Minor gaps exist, such as no way to update configuration or manage keywords, but these do not block the primary use cases.