Set a breakpoint at the specified file and line with an optional condition.
AI agents use set_breakpoint to create or update resources in Dap — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Dap environment.
Setting a breakpoint modifies the debugger state by adding a breakpoint to a file at a specific line. This is a reversible write operation (breakpoints can be removed), with minimal blast radius as it only affects the debugging session.
From the tool's definition Set a breakpoint at the specified file and line with an optional condition
Documented attack patterns abuse exactly the kind of access set_breakpoint gives an agent:
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 set_breakpoint:
{
"version": "1",
"default": "deny",
"tools": {
"set_breakpoint": {
"limits": [
{
"counter": "set_breakpoint_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} set_breakpoint stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Set a breakpoint at the specified file and line with an optional condition. It is categorised as a Write tool in the Dap MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Dap MCP server in PolicyLayer and add a rule for set_breakpoint: 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.
set_breakpoint is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the set_breakpoint 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 set_breakpoint. 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.
set_breakpoint 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.
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.
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