AI Incident Law
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Lawstronaut MCPofficial
FlicenseNot gradedqualityCmaintenanceConnects AI agents to 50+ million laws and court cases across 150+ jurisdictions via the Model Context Protocol.2-
TDQS
Scored across 8 tools
Most tools have distinct purposes (list vs search vs get), and descriptions clarify source vs generated records. However, get_authority clearly overlaps with get_obligation_first_record, since the latter explicitly handles 'authority' records by kind and graph ID, creating real ambiguity about which to use for an authority. list_authorities vs list_records is milder but also potentially confusable.
All eight tool names use consistent snake_case with a verb_noun pattern (get_, list_, search_). Compound nouns vary in length but the convention is uniform throughout.
Eight tools is well-scoped for a specialized legal/incident data server. Each tool covers a distinct capability (datasets, listing, search, source retrieval, authority retrieval, staleness) and none feels redundant beyond the noted authority overlap.
The read surface is solid: dataset summaries, filtered listing, full-text search, source record retrieval, generated record retrieval, and a staleness/verification report. It lacks explicit pagination or enumeration helpers (e.g. list jurisdictions/domains) but core discovery and retrieval workflows are covered with no dead ends.