BagOS
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TDQS
Scored across 14 tools
Each tool targets a distinct operation or resource, and the write vs read-only distinction is clear from descriptions. Minor overlap remains between get_token_analytics and get_token_claim_stats (both expose claim stats) and between get_creators and get_token_creators.
All tools share the bags_ prefix and mostly follow a verb_object pattern (get_, execute_, claim_, prepare_). Minor deviations include bags_heartbeat, which is a noun, and bags_authenticate, which is a bare verb.
14 tools is well within the ideal range and covers authentication, trading, fee claiming, analytics, and token metadata preparation without feeling bloated. Each tool serves a clear purpose in the overall workflow.
The surface covers the main read-only analytics, trade quoting/execution, fee claims, and metadata preparation workflows. The most notable gap is that a prepared token launch cannot be executed through the server, but the core trade and fee lifecycle is otherwise well covered.