AI agents invoke publish_ros2_topic 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.
Publishing to a ROS2 topic sends commands or data to a running robot system, which can trigger physical robot movements or state changes. This constitutes executing an external operation with real-world effects (robot actuation). The description is empty, so classification is based on name and server context. Severity is high because sending incorrect commands to a robot could cause physical damage or safety hazards.
From the tool's definition Tool name 'publish_ros2_topic' in a ROS MCP server described as 'Enables controlling robots in ROS environments through natural language, supporting topics, services, actions, and GUI tools.'
Documented attack patterns abuse exactly the kind of access publish_ros2_topic 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 publish_ros2_topic:
{
"version": "1",
"default": "deny",
"tools": {
"publish_ros2_topic": {
"limits": [
{
"counter": "publish_ros2_topic_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}publish_ros2_topic 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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publish_ros2_topic. 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 publish_ros2_topic: 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.
publish_ros2_topic 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 publish_ros2_topic 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 publish_ros2_topic. 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.
publish_ros2_topic 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.