China PolicySignal
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TDQS
Scored across 9 tools
Each tool serves a distinct purpose: search for full-text query, list_articles for metadata browsing, get_article for retrieval by ID, topic_timeline for temporal evidence, phrase_trend for phrase frequency, recent_signals for new phrase detection, get_context for passage extraction, corpus_stats for coverage, and update_corpus for crawling. No two tools overlap sufficiently to cause misselection.
All names use snake_case and are descriptive, but the pattern mixes verb_noun (get_article, list_articles, get_context, update_corpus) with noun phrases (topic_timeline, phrase_trend, recent_signals, corpus_stats) and a single verb (search). This is still readable and predictable, but not as uniform as a strict verb_noun convention.
9 tools is well-scoped for a specialized corpus analysis server. The set covers search, retrieval, browsing, temporal analysis, phrase trends, signal detection, context extraction, statistics, and updating, with no redundancy or missing essential operations.
The tool surface is comprehensive for the domain: full-text search, article retrieval, browsing, timeline construction, phrase trend analysis, new signal detection, contextual quoting, corpus statistics, and incremental updates. There are no obvious gaps that would hinder an agent's ability to conduct research on this corpus.