批量发送控制命令
AI agents invoke send_batch_control_commands to trigger actions in AIRIOT MCP 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.
This tool sends batch control commands to IoT devices on an industrial IoT platform. Executing control commands on physical devices (sensors, actuators, industrial equipment) can have real-world consequences including equipment damage, safety hazards, or operational disruption.
From the tool's definition 发送控制命令 (send control commands) - the tool sends batch control commands to IoT devices
Attacks that exploit this kind of access
批量发送控制命令. It is categorised as a Execute tool in the AIRIOT MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the AIRIOT MCP Server MCP server in PolicyLayer and add a rule for send_batch_control_commands: 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 AIRIOT MCP Server. Nothing to install.
send_batch_control_commands 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 send_batch_control_commands 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 send_batch_control_commands. 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.
send_batch_control_commands is provided by the AIRIOT MCP Server MCP server (sshwsfc/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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