aggrete
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- AlicenseNot gradedqualityBmaintenanceEnables AI agents to reach upstream MCP tool servers through a central policy gateway that authenticates each agent, enforces least-privilege and default-deny rules, and applies response obligations such as redaction, inference stripping, PII masking, and truncation. It also records every decision in a tamper-evident, hash-chained audit log that can be verified later.Apache 2.0

agentguardofficial
AlicenseNot gradedqualityAmaintenanceEnforces policy controls for AI agents, including spend limits, action approvals, kill switch, scoped credentials, dry-run diffs, loop prevention, and auditable hash-chained logs.MIT- AlicenseBqualityAmaintenanceA governance proxy for AI tools — every MCP/agent tool call is policy-gated, secret-redacted, and written to a hash-chained, offline-verifiable audit trail.13MIT

ERDL Guardofficial
AlicenseNot gradedqualityAmaintenanceEnforces deterministic policy decisions on AI agent tool calls, supporting allow, deny, correct, escalate, and human review actions with verifiable audit receipts.10 npmMIT- AlicenseAqualityBmaintenanceLocal zero-trust permission gateway for AI agents. Enforces policy-based tool authorization, human approvals, scoped permissions, and cryptographically verifiable audit logs.465 PyPI5Apache 2.0

evav-gatewayofficial
AlicenseNot gradedqualityBmaintenanceGoverned MCP gateway that lets AI agents call tools with policy enforcement, prompt-injection screening, a kill-switch, and tamper-evident signed audit logs.Apache 2.0
TDQS
Scored across 12 tools
Each tool maps to a distinct resource or action: HR person-level lookups, finance aggregate views, ops drafting, external web read/write, and policy meta-tools. The domain prefixes and bracketed categories make it easy to tell timecard, leave balance, headcount plan, budget roles, and pay band apart.
All names use a domain__snake_case prefix, which provides a consistent overall structure. However, the action part is mixed: several tools are bare noun phrases (timecard, headcount_plan, pay_band), while others are verb phrases (read_public_post, post_note, start_here) or single verbs (check, scenarios).
Twelve tools is well within the ideal range, and each tool earns its place: data sources across HR, finance, ops, and external web, plus guidance and policy-checking tools. The count is large enough to demonstrate multiple policy scenarios without becoming a sprawling surface.
For a policy-decision demo, the surface is complete: start_here and scenarios orient the agent, check lets it test policy decisions before acting, and the data/web tools cover the described policy cases including redaction, comparing colleagues, individual pay, combination refusals, and the prompt-injection shield. No obvious dead-end workflow or missing operation exists for the stated purpose.