kill_process
A destructive tool on the Pentest Ai MCP server.
This record as markdown: /tools/0xsteph-pentest-ai/kill-process.md
What kill_process does on Pentest Ai
AI agents call kill_process to permanently remove resources in Pentest Ai, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why kill_process is rated Critical
The name 'kill_process' strongly implies terminating a process. Within a pentesting context, this could be used to kill processes on target systems or the local environment. Process termination is irreversible — the process state is lost. The description is empty, which lowers confidence slightly, but the tool name is unambiguous.
From the tool's definition Tool name 'kill_process' implies terminating a running process, which is an irreversible action that cannot be undone.
Attacks that exploit this kind of access
The rule that runs kill_process safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pentest Ai, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For kill_process, this is the rule to start with:
kill_process is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Pentest Ai, apply this rule, and every kill_process call is checked against it from then on.
Questions about kill_process
kill_process is a destructive tool on the Pentest Ai MCP server. It is categorised as a Destructive tool in the Pentest Ai MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Pentest Ai MCP server in PolicyLayer and add a rule for kill_process: 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 Pentest Ai. Nothing to install.
kill_process is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the kill_process 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 kill_process. 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.
kill_process is provided by the Pentest Ai MCP server (0xsteph/pentest-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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