stop_kubernetes_persistence
Terminate a background Kubernetes process (log stream or exec) using its PID.
This record as markdown: /tools/halilkirazkaya-pentester-mcp/stop-kubernetes-persistence.md
What stop_kubernetes_persistence does on Pentester-MCP
AI agents invoke stop_kubernetes_persistence to trigger actions in Pentester-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.
Why stop_kubernetes_persistence is rated High
This tool executes a command to terminate a Kubernetes process, which is an action that triggers external operations (process termination) whose effects depend on the PID argument provided. While not destructive in the sense of deleting persistent data, terminating a Kubernetes process can disrupt services and has significant blast radius in a production environment.
From the tool's definition Tool description states it 'Terminate[s] a background Kubernetes process' by PID. The word 'terminate' and the focus on process management indicates execution of a system operation that affects running infrastructure.
Attacks that exploit this kind of access
The rule that runs stop_kubernetes_persistence safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pentester-MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stop_kubernetes_persistence, this is the rule to start with:
stop_kubernetes_persistence 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Pentester-MCP, apply this rule, and every stop_kubernetes_persistence call is checked against it from then on.
Questions about stop_kubernetes_persistence
Terminate a background Kubernetes process (log stream or exec) using its PID. It is categorised as a Execute tool in the Pentester-MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Pentester MCP server in PolicyLayer and add a rule for stop_kubernetes_persistence: 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 Pentester-MCP. Nothing to install.
stop_kubernetes_persistence 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 stop_kubernetes_persistence 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 stop_kubernetes_persistence. 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.
stop_kubernetes_persistence is provided by the Pentester MCP server (halilkirazkaya/pentester-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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