AI agents call check_status to retrieve information from Amadeus-QQ-MCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and reports the current state of QQ login and NapCat connection status. It has no side effects, cannot modify data, and poses minimal risk if misused by an AI agent—at worst, it provides information about system connectivity that would already be apparent to a legitimate operator.
From the tool's definition Tool name 'check_status' and description 'Check QQ login status and NapCat connection status' indicate a query operation that retrieves status information without modifying, executing, or deleting anything.
Documented attack patterns abuse exactly the kind of access check_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amadeus-QQ-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for check_status:
{
"version": "1",
"default": "deny",
"tools": {
"check_status": {}
}
} check_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Check QQ login status and NapCat connection status. It is categorised as a Read tool in the Amadeus-QQ-MCP MCP Server, which means it retrieves data without modifying state.
Register the Amadeus-QQ- MCP server in PolicyLayer and add a rule for check_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 Amadeus-QQ-MCP. Nothing to install.
check_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 check_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 check_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.
check_status is provided by the Amadeus-QQ- MCP server (julesliu390/amadeus-qq-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amadeus-QQ-MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
10 Amadeus-QQ-MCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.