datafordeler-dar
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TDQS
Scored across 10 tools
Each tool targets a distinct resource+action, and the descriptions explicitly cross-reference siblings (e.g. 'Not for text search: use dar_search_addresses'). The subtle get_address vs get_access_address (unit vs entrance) distinction is spelled out with examples, and search vs list vs get roles are clearly separated.
Strong, predictable dar_ prefix with verb_noun structure (dar_get_street, dar_list_addresses, dar_search_addresses). Minor deviations are the noun-only dar_status and dar_graphql, but these are still readable and coherent with the set.
10 tools is well-scoped for the DAR domain, with no redundant or filler entries. Each tool covers a distinct lookup or discovery need.
Covers connectivity, streets, addresses, access addresses, postcodes, text search, plus a raw GraphQL escape hatch and schema discovery, which fills most gaps. Minor omissions like dedicated building/history tooling are mitigated by dar_graphql.