Low Risk

debug_state

Get target execution state (running/stopped) and last stop reason.

How to control debug_state ↓

What debug_state does on Openocd

AI agents call debug_state to retrieve information from Openocd without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why debug_state needs a policy

This tool only queries and returns the current state of a debug target without modifying, executing, or destructively affecting any system. It is informational only, analogous to checking a status flag. The lowest risk category (Read) applies.

From the tool's definition Tool name is 'debug_state' and description states it 'Get[s] target execution state (running/stopped) and last stop reason' — purely retrieves status information with no side effects.

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

How to control debug_state

PolicyLayer is an MCP gateway — it sits between your AI agents and Openocd, and nothing reaches the server without passing your rules. This is the rule we recommend for debug_state:

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

debug_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 Openocd — 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 debug_state

What does the debug_state tool do? +

Get target execution state (running/stopped) and last stop reason. It is categorised as a Read tool in the Openocd MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on debug_state? +

Register the Openocd MCP server in PolicyLayer and add a rule for debug_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 Openocd. Nothing to install.

What risk level is debug_state? +

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

Can I rate-limit debug_state? +

Yes. Add a rate_limit block to the debug_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 debug_state completely? +

Set action: deny in the PolicyLayer policy for debug_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 debug_state? +

debug_state is provided by the Openocd MCP server (luiox/openocd-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Openocd tool call.

Start from Openocd, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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14 Openocd tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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