AI agents invoke step_over 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.
Stepping over a statement advances the execution of a running program, which is an active execution control operation. While it doesn't execute arbitrary code directly, it drives program execution forward in a debug session, making Execute the appropriate category. Misuse could cause unintended program state changes or bypass critical breakpoints.
From the tool's definition "Step over the current statement" — advances execution in a live debugging session, controlling program flow through the V8 Inspector Protocol
Documented attack patterns abuse exactly the kind of access step_over 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 step_over:
{
"version": "1",
"default": "deny",
"tools": {
"step_over": {
"limits": [
{
"counter": "step_over_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} step_over 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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Step over the current statement. 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 step_over: 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.
step_over 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 step_over 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 step_over. 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.
step_over 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.