Low Risk

get_program_state

获取指定IP机器人的程序执行状态

How to control get_program_state ↓

What get_program_state does on Nonead Universal-Robots MCP Server

AI agents call get_program_state to retrieve information from Nonead Universal-Robots MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_program_state needs a policy

This tool retrieves and queries the current execution state of a robot program—a read-only operation with no side effects. It does not execute commands, modify state, delete data, or trigger financial transactions. While it accesses robot operational data, the data is observational and non-destructive. Severity is low because misuse would only expose monitoring information, not cause physical or operational harm.

From the tool's definition Tool name 'get_program_state' and description '获取指定IP机器人的程序执行状态' (Chinese: 'Get the program execution state of the robot at the specified IP') indicates retrieval of status information without modification or execution of commands.

Documented attack patterns abuse exactly the kind of access get_program_state gives an agent:

How to control get_program_state

PolicyLayer is an MCP gateway — it sits between your AI agents and Nonead Universal-Robots MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_program_state:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_program_state": {}
  }
}

get_program_state is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Nonead Universal-Robots MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_program_state

What does the get_program_state tool do? +

获取指定IP机器人的程序执行状态. It is categorised as a Read tool in the Nonead Universal-Robots MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_program_state? +

Register the Nonead Universal-Robots MCP Server MCP server in PolicyLayer and add a rule for get_program_state: 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 Nonead Universal-Robots MCP Server. Nothing to install.

What risk level is get_program_state? +

get_program_state is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_program_state? +

Yes. Add a rate_limit block to the get_program_state 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.

How do I block get_program_state completely? +

Set action: deny in the PolicyLayer policy for get_program_state. 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.

What MCP server provides get_program_state? +

get_program_state is provided by the Nonead Universal-Robots MCP Server MCP server (nonead/nonead-universal-robots-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nonead Universal-Robots MCP Server tool call.

Start from Nonead Universal-Robots MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

39 Nonead Universal-Robots MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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