AI agents call get_task_status to retrieve information from Midjourney MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a read-only operation to check the state of an existing task. It has no side effects, does not execute code or commands, does not modify data, and does not delete anything. It is purely informational, making it a Read category tool with low severity risk.
From the tool's definition The tool name 'get_task_status' and description 'Get current status of a Midjourney task' indicate a query operation that retrieves status information without modifying, executing, or deleting any data.
Documented attack patterns abuse exactly the kind of access get_task_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Midjourney MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_task_status:
{
"version": "1",
"default": "deny",
"tools": {
"get_task_status": {}
}
}get_task_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get current status of a Midjourney task. It is categorised as a Read tool in the Midjourney MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Midjourney MCP Server MCP server in PolicyLayer and add a rule for get_task_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 Midjourney MCP Server. Nothing to install.
get_task_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_task_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_task_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_task_status is provided by the Midjourney MCP Server MCP server (z23cc/midjourney-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Midjourney MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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7 Midjourney MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.