Start a debugging session with auto-detection or specified debugger type.
AI agents invoke debugger_start to trigger actions in GDB MCP 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.
Debuggers are powerful execution environments that allow stepping through code, setting breakpoints, and controlling program flow. Starting a debugger session is an Execute operation because it triggers external program execution with effects determined by subsequent debugger commands. While the initial action is to launch the debugger (not destructive), it establishes an execution environment.
From the tool's definition The tool 'debugger_start' initiates a debugging session that can launch a debugger (GDB, LLDB) to execute and control programs.
Documented attack patterns abuse exactly the kind of access debugger_start gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and GDB MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for debugger_start:
{
"version": "1",
"default": "deny",
"tools": {
"debugger_start": {
"limits": [
{
"counter": "debugger_start_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}debugger_start 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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Start a debugging session with auto-detection or specified debugger type. It is categorised as a Execute tool in the GDB MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the GDB MCP Server MCP server in PolicyLayer and add a rule for debugger_start: 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 GDB MCP Server. Nothing to install.
debugger_start 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 debugger_start 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 debugger_start. 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.
debugger_start is provided by the GDB MCP Server MCP server (smadi0x86/mdb-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 GDB MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
13 GDB MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.