protocol.mcp_server
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- AlicenseNot gradedqualityCmaintenanceEnables local candidate review of ONNX or TFLite models by checking static evidence and externally measured results against a fixed policy, producing accept/reject/hold evidence ZIPs for AI agent workflows.Apache 2.0
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TDQS
Scored across 7 tools
Each tool targets a distinct operation, and descriptions clarify differences (view persistence, appending evidence vs checks, warrant evaluation, action gating, context packet). 'ewp_check_record' and 'ewp_evidence_record' can sound similar, and 'warrant_now'/'may_act' need careful reading, but the boundaries are clear enough for an agent.
All names share the ewp_ prefix and snake_case, which is helpful, but there is no consistent verb_noun pattern: ewp_evidence_view_put/get are noun_phrase_verb, ewp_check_record reads as verb_noun, ewp_memory_context is noun_noun, and ewp_may_act is a modal phrase. The mixed conventions are readable but not predictable.
Seven tools is well within the ideal range and each one covers a distinct part of the evidence/warrant workflow without redundancy. Nothing feels bloated or too thin.
The surface covers the main lifecycle: persist and load EvidenceViews, append evidence and verification checks, evaluate warrants, gate actions, and retrieve context. It lacks list/update/delete operations, but the append-only record design and 'does not persist warrant' hint make these look intentional rather than critical gaps.