Prism
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TDQS
Scored across 11 tools
Most tools target distinct resources (projects, customers, errors, hosts, revenue, costs). However, get_customer and open_moat_dashboard both return overlapping customer info (payment, entitlements, read-cost) with different output formats, which could cause selection ambiguity.
Tools follow a consistent imperative_underscore pattern with verbs like get_, list_, draw_, open_, and use_. The naming is clear and predictable, though the verb choice varies appropriately across actions.
With 11 tools covering project management, customer insights, error analysis, host analytics, and revenue/costs, the set is well-scoped for a product analytics platform. Each tool serves a distinct purpose without redundancy.
The core analytics needs are covered: customer overview, error impact, traffic analysis, revenue tracking, and cost breakdown. Minor gaps like user-level event logs or data export are acceptable given the server's focus on cross-layer analytics.