AI agents invoke lldb_step to trigger actions in LLDB-MCP. 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 steps through native program execution in a debugger context. It directly controls execution flow of native applications, which can trigger arbitrary code paths, modify program state, and interact with system resources. Stepping through code in a debugger is an Execute-category operation with high severity due to the potential to advance execution into sensitive or destructive code paths.
From the tool's definition 'Step program execution' - controls native program execution flow via LLDB debugger
Documented attack patterns abuse exactly the kind of access lldb_step gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and LLDB-MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for lldb_step:
{
"version": "1",
"default": "deny",
"tools": {
"lldb_step": {
"limits": [
{
"counter": "lldb_step_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}lldb_step 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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Step program execution. It is categorised as a Execute tool in the LLDB-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the LLDB- MCP server in PolicyLayer and add a rule for lldb_step: 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 LLDB-MCP. Nothing to install.
lldb_step 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 lldb_step 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 lldb_step. 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.
lldb_step is provided by the LLDB- MCP server (stass/lldb-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 28 LLDB-MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
28 LLDB-MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.