AI agents invoke launch_rqt_graph to trigger actions in ROS MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool executes a GUI application (rqt_graph) via WebSocket, which is a form of process execution. While launching a visualization tool is less dangerous than arbitrary code execution, it still qualifies as Execute because it spawns external processes and operations.
From the tool's definition Tool description states 'Launch rqt_graph GUI tool via WebSocket server' — this launches an external graphical application, which is an execution action that triggers an external process whose effects depend on the runtime environment and system state.
Documented attack patterns abuse exactly the kind of access launch_rqt_graph gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ROS MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for launch_rqt_graph:
{
"version": "1",
"default": "deny",
"tools": {
"launch_rqt_graph": {
"limits": [
{
"counter": "launch_rqt_graph_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}launch_rqt_graph stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Launch rqt_graph GUI tool via WebSocket server. It is categorised as a Execute tool in the ROS MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the ROS MCP server in PolicyLayer and add a rule for launch_rqt_graph: 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 ROS MCP. Nothing to install.
launch_rqt_graph is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the launch_rqt_graph 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 launch_rqt_graph. 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.
launch_rqt_graph is provided by the ROS MCP server (yutarop/ros-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 24 ROS MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
24 ROS MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.