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web-data-mcp

by fctpe
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    TDQS

    A4.4/5.0

    Scored across 7 tools

    Disambiguation5/5

    Each tool has a clearly distinct role: run management, scraping, actor execution, data retrieval, quality validation, retry logic, and RAG conversion. Overlapping tools like scrape_url and run_actor are explicitly differentiated in their descriptions, so an agent can reliably select the correct one.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun snake_case pattern (get_run_status, scrape_url, run_actor, fetch_dataset_items, validate_dataset, retry_low_quality_run). The exception is dataset_to_rag_documents, which lacks a leading verb and breaks the pattern, though it remains readable and unambiguous.

    Tool Count5/5

    Seven tools is a well-scoped count for a web data extraction and processing server. Each tool addresses a distinct step in the pipeline without redundancy, making the set feel complete yet not overwhelming.

    Completeness5/5

    The tool surface covers the full lifecycle: initiating extractions (scrape_url/run_actor), monitoring runs (get_run_status), fetching results (fetch_dataset_items), validating quality (validate_dataset), improving results (retry_low_quality_run), and preparing output for downstream use (dataset_to_rag_documents). No critical gaps are apparent for the stated purpose.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

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