AI agents call get_location to retrieve information from MCP NodeJS Debugger without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves the current paused execution state (line number, file, stack frame, etc.) without modifying any code, data, or execution flow. It is a passive inspection capability analogous to reading metadata about the debugger state. While part of a debugging suite that includes executable operations, this specific tool only queries information and has no blast radius if invoked by an AI agent.
From the tool's definition Tool name 'get_location' and description 'Gets the current execution location when paused' indicate a retrieval operation with no side effects. The verb 'gets' is purely informational.
Documented attack patterns abuse exactly the kind of access get_location gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP NodeJS Debugger, and nothing reaches the server without passing your rules. This is the rule we recommend for get_location:
{
"version": "1",
"default": "deny",
"tools": {
"get_location": {}
}
}get_location is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Gets the current execution location when paused. It is categorised as a Read tool in the MCP NodeJS Debugger MCP Server, which means it retrieves data without modifying state.
Register the MCP NodeJS Debugger MCP server in PolicyLayer and add a rule for get_location: 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 MCP NodeJS Debugger. Nothing to install.
get_location is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_location 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 get_location. 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.
get_location is provided by the MCP NodeJS Debugger MCP server (workbackai/mcp-nodejs-debugger). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 13 MCP NodeJS Debugger tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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13 MCP NodeJS Debugger tools catalogued and risk-classified — across an index of 42,500+ MCP servers.