@dm2233/agent-data-mcp
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TDQS
Scored across 5 tools
Each top-level tool targets a distinct data domain: facts, market data, on-chain data, web search, and AI text tasks. Minor overlap exists between search_web's extract_from_page and ai_task's extract, and between verify_fact and search_web for fact lookup, but the descriptions clarify the intended boundaries.
All names use snake_case consistently, and four of five follow a verb_noun pattern (verify_fact, check_market, check_chain, search_web). ai_task breaks the verb-first convention, but the overall style remains predictable.
Five tools is a well-scoped count for a multi-domain data toolkit, avoiding a sprawl of dozens of narrow endpoints. Each tool encapsulates a coherent category of operations and earns its place.
The set covers several common data needs (facts, crypto/DeFi/FX, basic chain data, web search, AI text tasks), but coverage within each area is shallow. Notable gaps include broader chain/transaction data, more fact sources, and richer web/API integrations, which could cause dead ends for some agent workflows.