AI agents call autogui_get_status to retrieve information from MCPHub without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries state information about running automation tasks without modifying, executing, or destructively altering anything. It is purely informational, analogous to a status check or query operation.
From the tool's definition autogui_get_status retrieves current GUI automation task execution status. Description translates to 'Get the current running status of GUI automation tasks' — a retrieval operation with no side effects.
Attacks that exploit this kind of access
获取当前GUI自动化任务的运行状态。. It is categorised as a Read tool in the MCPHub MCP Server, which means it retrieves data without modifying state.
Register the MCPHub MCP server in PolicyLayer and add a rule for autogui_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 MCPHub. Nothing to install.
autogui_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 autogui_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 autogui_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.
autogui_get_status is provided by the MCPHub MCP server (jayden-dong/mcphub). 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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