Get current debug session status and configuration information
AI agents call debug_status to retrieve information from MCP Server for VS Code without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool only reads and reports the current state of a debug session. It has no side effects, does not execute code, does not modify data, and does not delete anything. It is purely informational, similar to inspection tools like debug_inspectVariables and debug_getCallStack which are also Read operations. The blast radius of misuse is minimal—an agent could only gain visibility into debug session state.
From the tool's definition Tool name 'debug_status' and description 'Get current debug session status and configuration information' indicate a query operation that retrieves status data without modifying or executing anything.
Documented attack patterns abuse exactly the kind of access debug_status gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Server for VS Code, and nothing reaches the server without passing your rules. This is the rule we recommend for debug_status:
{
"version": "1",
"default": "deny",
"tools": {
"debug_status": {}
}
} debug_status is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get current debug session status and configuration information. It is categorised as a Read tool in the MCP Server for VS Code MCP Server, which means it retrieves data without modifying state.
Register the MCP Server for VS Code MCP server in PolicyLayer and add a rule for debug_status: 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 Server for VS Code. Nothing to install.
debug_status is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the debug_status 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 debug_status. 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.
debug_status is provided by the MCP Server for VS Code MCP server (malvex/mcp-server-vscode). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Server for VS Code, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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25 MCP Server for VS Code tools catalogued and risk-classified — across an index of 43,000+ MCP servers.