Probe all registered simulation MCP backends and report availability.
AI agents call sim_fleet_status to retrieve information from Robotics 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 probe of backend availability and status reporting. It gathers information about registered simulation backends but does not execute commands on robots, modify configurations, delete data, or trigger physical/virtual actions. The only potential risk is information disclosure about which backends exist, classified as low severity with high confidence.
From the tool's definition Tool name 'sim_fleet_status' and description 'Probe all registered simulation MCP backends and report availability' indicate a query/monitoring operation that retrieves status information without modifying any state, executing commands, or affecting robot…
Documented attack patterns abuse exactly the kind of access sim_fleet_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Robotics MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for sim_fleet_status:
{
"version": "1",
"default": "deny",
"tools": {
"sim_fleet_status": {}
}
}sim_fleet_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Probe all registered simulation MCP backends and report availability. It is categorised as a Read tool in the Robotics MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Robotics MCP Server MCP server in PolicyLayer and add a rule for sim_fleet_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 Robotics MCP Server. Nothing to install.
sim_fleet_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 sim_fleet_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 sim_fleet_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.
sim_fleet_status is provided by the Robotics MCP Server MCP server (sandraschi/robotics-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Robotics MCP Server, 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.
5 Robotics MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.