AI agents invoke run_ros2_executable 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.
This is an Execute tool because it triggers external operations (executable code in ROS) whose real-world effects depend on the arguments provided. While not inherently destructive or financial, it poses high severity risk in a robotics setting: an AI agent given this tool could inadvertently execute malicious, misconfigured, or unintended ROS executables, leading to unsafe robot behavior, system crashes, or…
From the tool's definition Tool description states it 'Runs a ROS 2 executable from a specified package.' The verb 'Runs' combined with 'executable' indicates code execution.
Documented attack patterns abuse exactly the kind of access run_ros2_executable 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 run_ros2_executable:
{
"version": "1",
"default": "deny",
"tools": {
"run_ros2_executable": {
"limits": [
{
"counter": "run_ros2_executable_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} run_ros2_executable 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.
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Runs a ROS 2 executable from a specified package. 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 run_ros2_executable: 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.
run_ros2_executable 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 run_ros2_executable 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 run_ros2_executable. 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.
run_ros2_executable 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.