AI agents call server_status to retrieve information from Robot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Status tools are conventionally read-only operations that check system state. Given the server context (robot control), a status check would retrieve information about connected robots, firmware versions, operational mode, or similar metadata. The absence of a description slightly lowers confidence, but the semantic meaning of 'status' is well-established as a non-mutating information retrieval operation.
From the tool's definition Tool named 'server_status' with no description provided; naming convention strongly suggests it queries or retrieves the current state of the robot-control MCP server without making modifications or executing actions.
Documented attack patterns abuse exactly the kind of access server_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Robot, and nothing reaches the server without passing your rules. This is the rule we recommend for server_status:
{
"version": "1",
"default": "deny",
"tools": {
"server_status": {}
}
}server_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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server_status. It is categorised as a Read tool in the Robot MCP Server, which means it retrieves data without modifying state.
Register the Robot MCP server in PolicyLayer and add a rule for server_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 Robot. Nothing to install.
server_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 server_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 server_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.
server_status is provided by the Robot MCP server (showkeyjar/robot-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Robot, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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24 Robot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.