Runs ros2 doctor to check ROS 2 environment setup and issues.
AI agents invoke run_ros2_doctor 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 the 'ros2 doctor' command in the environment. While its primary purpose is diagnostic/read-like (checking environment setup and issues), it actively runs an external command/process. It has minimal blast radius as it is a read-only diagnostic tool, but since it executes a system command, Execute is the most appropriate category per the rules.
From the tool's definition 'Runs ros2 doctor to check ROS 2 environment setup and issues'
Documented attack patterns abuse exactly the kind of access run_ros2_doctor 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_doctor:
{
"version": "1",
"default": "deny",
"tools": {
"run_ros2_doctor": {
"limits": [
{
"counter": "run_ros2_doctor_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}run_ros2_doctor 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 ros2 doctor to check ROS 2 environment setup and issues. 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_doctor: 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_doctor 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_doctor 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_doctor. 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_doctor 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.