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MCP Elasticsearch Demo

by dev-com2020
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    TDQS

    A3.7/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a distinct retrieval purpose: search_documents queries by text, find_similar queries by example id, list_facets enumerates filter values, get_document fetches a full doc by id, and get_video_segment pulls a time-bounded transcript. The main mild overlap is search_documents vs find_similar (both return ranked recommendations), but the input mode (query vs id) and descriptions differentiate them adequately.

    Naming Consistency5/5

    All five names follow a consistent snake_case verb_noun pattern (get_video_segment, search_documents, get_document, list_facets, find_similar). Verb choice is predictable and readable across the set.

    Tool Count5/5

    Five tools is well-scoped for a hybrid search/retrieval server, covering search, drill-down, filtering discovery, similarity, and a media-specific accessor. Every tool earns its place with no redundant filler.

    Completeness4/5

    The retrieval lifecycle is well covered: search, fetch full content, discover facets, find similar, and extract a video segment. It lacks any indexing/write operations (create/update/delete or list-all), which may be intentional for a read-only demo but leaves the surface one-sided.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources