Restart the debug session from the beginning with the same configuration.
AI agents invoke restart_debugging to trigger actions in DebugMCP. 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.
Restarting a debug session re-executes code from the start with potentially different state or breakpoint configurations. While not destructive, this is an Execute action because it triggers external operations (code re-execution) whose effects depend on the debugged program's logic.
From the tool's definition Tool description states it 'Restart[s] the debug session from the beginning' which triggers execution of code within a debugger context.
Documented attack patterns abuse exactly the kind of access restart_debugging gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and DebugMCP, and nothing reaches the server without passing your rules. This is the rule we recommend for restart_debugging:
{
"version": "1",
"default": "deny",
"tools": {
"restart_debugging": {
"limits": [
{
"counter": "restart_debugging_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} restart_debugging 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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Restart the debug session from the beginning with the same configuration. It is categorised as a Execute tool in the DebugMCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Debug MCP server in PolicyLayer and add a rule for restart_debugging: 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 DebugMCP. Nothing to install.
restart_debugging 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 restart_debugging 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 restart_debugging. 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.
restart_debugging is provided by the Debug MCP server (microsoft/debugmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from DebugMCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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13 DebugMCP tools catalogued and risk-classified — across an index of 43,000+ MCP servers.