detach_from_process

Detach from the debugged process without terminating it

Server Mcp Debugger @debugmcp/mcp-debugger
Category Execute
Risk class High
Parameters 00 required

What detach_from_process does on Mcp Debugger

AI agents invoke detach_from_process to trigger actions in Mcp Debugger. 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.

Why detach_from_process needs a policy

This tool performs an external operation on a running process (detaching a debugger), which is an active action that affects the state of the debug session and the target process. It is not purely a read operation, and since it explicitly does not terminate the process (ruling out Destructive), Execute is the most appropriate category.

From the tool's definition Detach from the debugged process without terminating it

Questions about detach_from_process

What does the detach_from_process tool do? +

Detach from the debugged process without terminating it. It is categorised as a Execute tool in the Mcp Debugger MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on detach_from_process? +

Register the Mcp Debugger MCP server in PolicyLayer and add a rule for detach_from_process: 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. Nothing to install.

What risk level is detach_from_process? +

detach_from_process is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit detach_from_process? +

Yes. Add a rate_limit block to the detach_from_process 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.

How do I block detach_from_process completely? +

Set action: deny in the PolicyLayer policy for detach_from_process. 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.

What MCP server provides detach_from_process? +

detach_from_process is provided by the Mcp Debugger MCP server (@debugmcp/mcp-debugger). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

// LOOK UP ANOTHER 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.

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.