Interrupt/pause the running target via GDB/MI -exec-interrupt with platform-specific fallback.
AI agents invoke debug_interrupt to trigger actions in Openocd. 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 a control signal to an embedded debugging target to pause execution. It triggers an external operation (interrupting a running embedded system) via GDB/MI commands. While not destructive or financial, it actively affects the state of a running system, which qualifies as Execute. Misuse could halt a critical embedded system mid-operation, hence medium severity.
From the tool's definition Interrupt/pause the running target via GDB/MI -exec-interrupt with platform-specific fallback
Documented attack patterns abuse exactly the kind of access debug_interrupt gives an agent:
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_interrupt:
{
"version": "1",
"default": "deny",
"tools": {
"debug_interrupt": {
"limits": [
{
"counter": "debug_interrupt_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} debug_interrupt 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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Interrupt/pause the running target via GDB/MI -exec-interrupt with platform-specific fallback. It is categorised as a Execute tool in the Openocd MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Openocd MCP server in PolicyLayer and add a rule for debug_interrupt: 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.
debug_interrupt 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 debug_interrupt 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 debug_interrupt. 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.
debug_interrupt 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.
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.