Resume execution of the debugged Node.js process and wait for the next pause.
AI agents invoke resume to trigger actions in Mcp Debugger Node. 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 resumes execution of a paused Node.js process, which is an active operation that triggers external program execution. The effects depend on what code runs after resumption. It's not purely Read/Write, but an execution control action that could have wide-ranging effects depending on the program being debugged.
From the tool's definition Resume execution of the debugged Node.js process
Documented attack patterns abuse exactly the kind of access resume gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Mcp Debugger Node, and nothing reaches the server without passing your rules. This is the rule we recommend for resume:
{
"version": "1",
"default": "deny",
"tools": {
"resume": {
"limits": [
{
"counter": "resume_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} resume 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.
Free to start. No card required.
Resume execution of the debugged Node.js process and wait for the next pause. It is categorised as a Execute tool in the Mcp Debugger Node MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mcp Debugger Node MCP server in PolicyLayer and add a rule for resume: 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 Mcp Debugger Node. Nothing to install.
resume 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 resume 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 resume. 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.
resume is provided by the Mcp Debugger Node MCP server (mohammed-almassri/mcp-debugger-node). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Mcp Debugger Node, 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.
11 Mcp Debugger Node tools catalogued and risk-classified — across an index of 43,000+ MCP servers.