High Risk →

lldb_next

Step over function calls

How to control lldb_next ↓

AI agents invoke lldb_next 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.

High Risk

This tool controls execution flow in a debugger by stepping over function calls, which is an active execution control operation. It triggers program execution to advance to the next line/instruction, making it an Execute-category action. Misuse could advance program state in unintended ways during a debug session.

From the tool's definition Step over function calls

Documented attack patterns abuse exactly the kind of access lldb_next 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_next:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "lldb_next": {
      "limits": [
        {
          "counter": "lldb_next_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

lldb_next 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.

  1. Create a free account and register LLDB-MCP — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Go deeper

What does the lldb_next tool do? +

Step over function calls. 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.

How do I enforce a policy on lldb_next? +

Register the LLDB- MCP server in PolicyLayer and add a rule for lldb_next: 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.

What risk level is lldb_next? +

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

Can I rate-limit lldb_next? +

Yes. Add a rate_limit block to the lldb_next 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 lldb_next completely? +

Set action: deny in the PolicyLayer policy for lldb_next. 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 lldb_next? +

lldb_next 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.

Enforce policy on every LLDB-MCP tool call.

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.

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