newsapi-ai-mcp
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TDQS
Scored across 7 tools
Each tool has a distinct purpose: search_articles vs search_events target articles vs clusters, get_articles vs get_event fetch details for each, and suggest/usage/raw_request are clearly separate meta/helper tools. Boundaries are well-drawn, and raw_request is explicitly labeled as a fallback for cases the dedicated tools don't cover.
All tools share a clean newsapi_ prefix with snake_case and mostly verb_noun structure (search_articles, search_events, get_articles, get_event, suggest, raw_request). newsapi_usage is noun-only and breaks the verb pattern slightly, but overall the convention is predictable.
Seven tools is a well-scoped surface for a news search API, covering search, retrieval, discovery/autocomplete, usage, and an escape hatch without redundancy. Each tool earns its place.
The lifecycle is well covered: query (search_articles/events), retrieve full details (get_articles/get_event), resolve entities/sources (suggest), monitor quota (usage), and extend via raw_request. Some higher-level analytics (e.g. trends, concept trends) require the raw escape hatch rather than dedicated tools, a minor gap.