A
licenseA
qualityD
maintenanceRuntime policy enforcement for AI agents. Evaluate every agent action against your organization's policies before execution, with observe and enforce modes.
1
1
MIT
UNITARES
by cirwel
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This server cannot be deployed
TDQS
B3/5.0
Scored across 14 tools
Disambiguation3/5
Most workflow tools are distinct and well-described, such as request_review versus consult and record_result versus store_finding. However, the generic knowledge tool duplicates the search/store/update surfaces of search_shared_memory, store_finding, and update_finding without clear guidance on when to prefer the specialized wrappers, creating real selection ambiguity.
Naming Consistency3/5
Most tools follow a readable verb_noun snake_case pattern like record_result, start_session, and store_finding. The pattern is broken by knowledge, identity, consult, and self_recovery, which are bare nouns/verbs or compound nouns, making the naming style mixed but still understandable.
Tool Count4/5
14 tools is a reasonable size for a broad agent lifecycle server, and most tools represent distinct concerns. The count is slightly heavier than necessary because the knowledge tool overlaps with three specialized wrappers, but overall it is still well-scoped.
Completeness4/5
The set covers session start, state read/update, result recording, finding storage/update/search, structured review, consultation, health checks, identity, and self-recovery—a fairly complete operational lifecycle. Minor gaps include no explicit session end/close tool and no direct result retrieval, but these are likely workaroundable.
Maintenance
ActivityActive
ResponsivenessResponsive