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TensorFeed

by RipperMercs
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    TDQS

    A3.7/5.0

    Scored across 25 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between news tools (get_ai_news, get_ai_today, news_search, whats_new) and pricing tools (get_model_pricing, pricing_series, cost_projection). Detailed descriptions help differentiate, but an agent might still misselect in these clusters.

    Naming Consistency5/5

    Tool names follow a consistent verb_noun pattern (get_, create_, delete_, list_, is_), with only minor deviations like 'whats_new' and 'is_service_down'. Overall, the naming convention is predictable and clear.

    Tool Count4/5

    With 25 tools covering benchmarks, pricing, news, status, webhooks, and MCP registry, the count is slightly on the high side but still appropriate for the broad domain. Each tool serves a specific niche.

    Completeness4/5

    The tool surface covers most expected operations for an AI ecosystem data provider: benchmarks, pricing, news, status, webhooks, and account management. Minor gaps exist, such as the lack of a single model detail tool (only via comparison or deepdive), but core workflows are well-supported.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

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