Resume execution with exception monitoring
AI agents invoke resume_with_monitoring to trigger actions in MCP Debug Server. 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 Windows process being debugged. It controls process execution flow, which is an active operation that triggers external process behavior. Misuse could cause a process to execute malicious or unstable code paths, especially in a debugging context where exceptions are being monitored. This clearly falls under Execute as it runs/resumes code in an attached process.
From the tool's definition Resume execution with exception monitoring — resumes process execution flow in a debugger context
Attacks that exploit this kind of access
Resume execution with exception monitoring. It is categorised as a Execute tool in the MCP Debug Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Debug Server MCP server in PolicyLayer and add a rule for resume_with_monitoring: 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 Debug Server. Nothing to install.
resume_with_monitoring 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_with_monitoring 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_with_monitoring. 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_with_monitoring is provided by the MCP Debug Server MCP server (nickzer0/mcp-debugserver). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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