High Risk →

next

Step over to the next line of code in the debugger.

How to control next ↓

What next does on Dap

AI agents invoke next to trigger actions in Dap. 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

Why next needs a policy

This tool controls debugger execution flow by stepping over code lines. It triggers external operations (advancing the debug session/program execution), which qualifies as Execute. Misuse could cause unintended program state changes during a debug session.

From the tool's definition Step over to the next line of code in the debugger

Documented attack patterns abuse exactly the kind of access next gives an agent:

How to control next

PolicyLayer is an MCP gateway — it sits between your AI agents and Dap, and nothing reaches the server without passing your rules. This is the rule we recommend for next:

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

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 Dap — 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 →

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Related tools and policies

Go deeper

Questions about next

What does the next tool do? +

Step over to the next line of code in the debugger. It is categorised as a Execute tool in the Dap MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on next? +

Register the Dap MCP server in PolicyLayer and add a rule for 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 Dap. Nothing to install.

What risk level is next? +

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

Can I rate-limit next? +

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

Set action: deny in the PolicyLayer policy for 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 next? +

next is provided by the Dap MCP server (kashuncheng/dap_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Dap tool call.

Start from Dap, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

14 Dap tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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