AI agents invoke runMotor to trigger actions in Chotu Robo Server. 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.
Running a motor is an Execute action—it triggers external operations (physical motor actuation) whose effects depend on arguments (speed, direction, duration). The action is reversible (motor can be stopped) but represents real-world effects. Severity is high because uncontrolled motor operation could cause physical damage, injury, or unintended mechanical behavior if an AI agent misuses it without proper safeguards.
From the tool's definition Tool name 'runMotor' indicates direct control of a motor on Arduino-based robotics hardware. Sibling tools include hardware control operations (blinkLED, buzz, controlFan, moveBackward, moveForward, moveServo) that manipulate physical devices.
Documented attack patterns abuse exactly the kind of access runMotor gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Chotu Robo Server, and nothing reaches the server without passing your rules. This is the rule we recommend for runMotor:
{
"version": "1",
"default": "deny",
"tools": {
"runMotor": {
"limits": [
{
"counter": "runmotor_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} runMotor 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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runMotor. It is categorised as a Execute tool in the Chotu Robo Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Chotu Robo Server MCP server in PolicyLayer and add a rule for runMotor: 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 Chotu Robo Server. Nothing to install.
runMotor 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 runMotor 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 runMotor. 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.
runMotor is provided by the Chotu Robo Server MCP server (vishalmysore/choturobo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 15 Chotu Robo Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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15 Chotu Robo Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.