Check the status of a specific queue ticket by ID. Returns the ticket
AI agents call unity_queue_ticket_status to retrieve information from Unity MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries the status of an existing queue ticket identified by its ID. It performs a lookup operation that returns data without altering, executing, or deleting anything. This is a classic Read operation with minimal security risk even if misused by an AI agent.
From the tool's definition Tool name 'unity_queue_ticket_status' and description 'Check the status of a specific queue ticket by ID. Returns the ticket' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access unity_queue_ticket_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Unity MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for unity_queue_ticket_status:
{
"version": "1",
"default": "deny",
"tools": {
"unity_queue_ticket_status": {}
}
} unity_queue_ticket_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 the status of a specific queue ticket by ID. Returns the ticket. It is categorised as a Read tool in the Unity MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Unity MCP Server MCP server in PolicyLayer and add a rule for unity_queue_ticket_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 Unity MCP Server. Nothing to install.
unity_queue_ticket_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 unity_queue_ticket_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 unity_queue_ticket_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.
unity_queue_ticket_status is provided by the Unity MCP Server MCP server (anklebreaker-studio/unity-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Unity 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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324 Unity MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.