debug_launch
AI agents invoke debug_launch to trigger actions in Polybugger. 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.
debug_launch starts execution of programs under debugger control. While the tool description is empty (lowering confidence slightly), the server context and sibling tools clearly indicate this initiates program execution.
From the tool's definition Tool name 'debug_launch' combined with server purpose as a multi-language debugger that 'supports Python, JavaScript/TypeScript, Go, Rust, and C/C++' and sibling tools like 'debug_attach', 'debug_continue', 'debug_evaluate' indicate this launches debugged…
Attacks that exploit this kind of access
debug_launch. It is categorised as a Execute tool in the Polybugger MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Polybugger MCP server in PolicyLayer and add a rule for debug_launch: 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 Polybugger. Nothing to install.
debug_launch 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 debug_launch 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_launch. 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_launch is provided by the Polybugger MCP server (wilfoa/polybugger-mcp). 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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