@metarebalance/dadata-mcp
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TDQS
Scored across 31 tools
Each tool targets a specific data type or operation (address, phone, email, company, etc.) with no overlap. For example, 'clean_address' and 'suggest_address' serve different purposes, and 'find_company_by_id' is distinct from 'suggest_company'.
All tools follow a consistent verb_noun pattern in snake_case. Three clear prefixes (clean_, find_, suggest_) group related operations, and the remaining tools also use clear naming (e.g., 'geolocate_address', 'ip_locate', 'get_balance').
31 tools is above the typical well-scoped range (3-15), but it is justified by the comprehensive coverage of Russian data services (address, phone, email, companies, banks, etc.). The count is high but not excessive given the domain breadth.
The server covers a wide range of operations: validation, autocomplete, lookup for addresses, phones, emails, companies, banks, etc. Minor gaps (e.g., no dedicated 'clean_inn') exist but are often addressed by other tools (e.g., find_company_by_id).