AI agents call get_status to retrieve information from Aurai Advisor (上级顾问 MCP) without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only queries and displays session metadata without modifying, executing external operations, or deleting data. It is purely informational, making it a Read category risk with low severity—misuse would only expose session details rather than causing operational damage.
From the tool's definition The tool description states it retrieves session status information: '查看当前会话状态：历史条数、迭代次数、模型、进程空闲时间等' (view current session status: history count, iteration count, model, process idle time, etc.).
Documented attack patterns abuse exactly the kind of access get_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Aurai Advisor (上级顾问 MCP), and nothing reaches the server without passing your rules. This is the rule we recommend for get_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_status": {}
}
}get_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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查看当前会话状态：历史条数、迭代次数、模型、进程空闲时间等。用于排查或确认会话配置。. It is categorised as a Read tool in the Aurai Advisor (上级顾问 MCP) MCP Server, which means it retrieves data without modifying state.
Register the Aurai Advisor (上级顾问 MCP) MCP server in PolicyLayer and add a rule for get_status: 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 Aurai Advisor (上级顾问 MCP). Nothing to install.
get_status 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 get_status 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 get_status. 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.
get_status is provided by the Aurai Advisor (上级顾问 MCP) MCP server (lzmw/mcp-aurai-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Aurai Advisor (上级顾问 MCP), add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 Aurai Advisor (上级顾问 MCP) tools catalogued and risk-classified — across an index of 43,000+ MCP servers.