moltalyzer
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TDQS
Scored across 23 tools
Each tool has a clearly distinct purpose: free samples vs paid live data vs historical for each intelligence domain, with clear differentiation between brief/full/single/batch/detail variants. No two tools appear to do the same thing; even the sample vs digest pairs are explicitly distinguished in descriptions.
All tools follow a consistent 'get_<domain>_<modifier>' pattern (e.g., get_moltbook_digest, get_token_signals, get_pulse_narratives). Minor inconsistencies exist in singular/plural usage (get_tokens_latest vs get_token_signal) and a few abstract verbs (get_health, get_api_info), but overall the pattern is predictable and readable.
23 tools is slightly over the ideal 3-15 range but justified by the multi-domain coverage (crypto, GitHub, Polymarket, Pulse, meta). Each tool serves a distinct data access need, so the count feels reasonable rather than bloated.
The toolset covers current data, samples, historical lookbacks for most domains, and batch/single retrieval for signals. Notable gaps include missing historical access for Polymarket and Pulse narratives, and no way to 'list' all available signals beyond pagination in history, but core workflows are still well covered.