检查策略的否决窗口状态。处于 48h 否决窗口内的策略，如果负面反馈超过正面反馈的 50%，可被 admin 撤回。
AI agents call check_veto_window to retrieve information from Agent-Comm-Hub without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool retrieves status information about a strategy's veto window (whether negative feedback exceeds 50% of positive feedback within 48h). It is a read/query operation with no side effects. The description does not indicate it triggers any action itself; it only checks state.
From the tool's definition 检查策略的否决窗口状态 — the tool checks/reads the veto window status of a strategy; no modification or execution implied
Risk signalsAdmin/system-level operation
Attacks that exploit this kind of access
检查策略的否决窗口状态。处于 48h 否决窗口内的策略，如果负面反馈超过正面反馈的 50%，可被 admin 撤回。. It is categorised as a Read tool in the Agent-Comm-Hub MCP Server, which means it retrieves data without modifying state.
Register the Agent-Comm-Hub MCP server in PolicyLayer and add a rule for check_veto_window: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Agent-Comm-Hub. Nothing to install.
check_veto_window is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the check_veto_window rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for check_veto_window. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
check_veto_window is provided by the Agent-Comm-Hub MCP server (liuboacean/agent-comm-hub). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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