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torob-mcp

by sepehr071
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Python
Remote

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      A
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      quality
      A
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    • digikala-mcp

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A4/5.0

    Scored across 26 tools

    Disambiguation4/5

    Most tools target distinct Torob resources or actions, and the descriptions clarify when to use each. Some overlap remains among search/shopping helpers (tb_search, tb_cheapest, tb_best_value, tb_basket) and availability summaries (tb_presence vs tb_sellers/tb_stores), but boundaries are usually explicit.

    Naming Consistency5/5

    All tools use the same tb_ snake_case prefix with descriptive names. The set mixes noun names (tb_product) and action names (tb_search), but there is no conflicting convention.

    Tool Count2/5

    At 26 tools, the surface is above the typical well-scoped range and meets the rubric's 25+ threshold. While many tools serve niche Torob workflows, the count is heavy and risks overwhelming an agent.

    Completeness5/5

    The set covers the full price-comparison lifecycle: discovery, product details, variants, similar products, offers, stores, availability, price history, deal scoring, comparison, basket optimization, and shop trust/directory. No obvious core operation is missing.

    Maintenance

    ActivityNo data
    ResponsivenessNo issues

    Resources