ScamVerify
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TDQS
Scored across 10 tools
Each tool has a distinct, non-overlapping purpose based on input type (phone, URL, email, text, document, QR) and operation mode (single vs. batch). The 'check_' prefix clearly identifies analysis tools, while 'batch_' and 'get_' group utility functions, leaving no ambiguity about which tool to invoke for a given scam verification task.
All 10 tools follow a consistent snake_case verb_noun convention (check_phone, batch_url, get_status). The verb choices are semantically coherent: 'check' for analysis operations, 'batch' for bulk processing, and 'get' for administrative retrieval, creating a predictable naming scheme throughout the set.
With 10 tools, the server hits the sweet spot for a scam verification API. The set includes single-item checks for six input types, batch variants for high-volume channels (phone/URL), and essential administrative tools (status/usage), with no redundant or filler tools.
The surface covers all major scam vectors (voice, web, email, SMS, physical documents, QR codes) with appropriate AI and database verification. Minor gap: batch operations are only available for phone and URL lookups, not for email, text, or document analysis, though this may reflect typical usage patterns.