CleanSignal MCP
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TDQS
Scored across 4 tools
The four tools mostly target distinct jobs: commodity regime lookup, social-signal filtering, B2B intent scanning, and credit purchase. The main overlap risk is between filter_social_signals and scan_b2b_buying_intent, since both relate to extracting buying signals from external data, but their descriptions differentiate raw social-stream de-noising from verified B2B/tender scanning.
All tool names follow a consistent snake_case verb_noun pattern: get_, filter_, scan_, and buy_. The convention is predictable and readable throughout.
Four tools is on the thin side but appropriate for a focused signal/intelligence API with three data products plus billing. Each tool has a clear role, though the surface could feel slightly underpowered if the service grows.
The tool set covers the main signal products and a credit top-up, but there is no tool to check remaining credits, account usage, or subscription status. It also lacks history/time-series access for commodity regimes or signal streams, which are notable gaps for a metered data service.