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TDQS
Scored across 28 tools
Several tools are explicit thin wrappers or subsets of others (derivatives.funding_rate_value vs derivatives.funding_rate, market.oracle_gap_bp vs market.oracle_gap, prediction.hip4_price vs prediction.hip4_price_ladder), and the many Polymarket/HIP-4 order-book granularity tools overlap in purpose. Detailed descriptions with 'do not use X for Y' guidance reduce confusion, but an agent can still misselect among liquidity/spread/impact metrics.
26 of 28 tools follow a consistent namespace.snake_case pattern (e.g., market.cycle_compare, prediction.hip4_snapshot), with only convert_to_markdown and get_token_dump_risk breaking the namespace convention. The remaining outlier uses a get_ prefix while others use noun phrases, but overall naming is readable and mostly predictable.
28 tools exceeds the 25-tool threshold in the rubric, and many are granular variants or wrappers that could be consolidated. While the multi-domain scope justifies a larger surface, this is heavy for an agent to navigate.
The set covers many crypto analytics niches (market, derivatives, prediction markets, security, DEX, arb, macro), but lacks generic price/OHLC, historical data, and portfolio tracking tools. For a read-only alpha pipeline, the coverage is broad but not complete.