AI agents invoke add_logpoint to trigger actions in Node Js Debugger 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.
A logpoint injects a logging expression into running code at a specified location, causing it to execute when that line is hit. This is an Execute-category action as it modifies the running program's behavior by inserting evaluated expressions into execution flow.
From the tool's definition Tool name 'add_logpoint' on a Node.js Debugger MCP server that 'Provides comprehensive debugging capabilities including breakpoints, stepping, variable inspection, expression evaluation'
Documented attack patterns abuse exactly the kind of access add_logpoint gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Node Js Debugger MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for add_logpoint:
{
"version": "1",
"default": "deny",
"tools": {
"add_logpoint": {
"limits": [
{
"counter": "add_logpoint_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}add_logpoint 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.
Free to start. No card required.
add_logpoint. It is categorised as a Execute tool in the Node Js Debugger MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Node Js Debugger MCP server in PolicyLayer and add a rule for add_logpoint: 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 Node Js Debugger MCP. Nothing to install.
add_logpoint 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 add_logpoint 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 add_logpoint. 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.
add_logpoint is provided by the Node Js Debugger MCP server (scriptedalchemy/devtools-debugger-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 21 Node Js Debugger MCP tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
21 Node Js Debugger MCP tools catalogued and risk-classified — across an index of 42,500+ MCP servers.