kubernetes_restart_deployment
A execute tool on the MCP Framework Personal MCP server.
This record as markdown: /tools/inggerman-mcps/kubernetes-restart-deployment.md
What kubernetes_restart_deployment does on MCP Framework Personal
AI agents invoke kubernetes_restart_deployment to trigger actions in MCP Framework Personal. 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 kubernetes_restart_deployment is rated High
Restarting a Kubernetes deployment causes immediate operational effects: pods are terminated and recreated, services may experience downtime, and state is disrupted. This is an Execute-category tool because it triggers external operations whose effects are dependent on which deployment is targeted.
From the tool's definition Tool name 'kubernetes_restart_deployment' indicates execution of a Kubernetes deployment restart operation. The 'restart' action triggers external infrastructure operations with side effects.
Attacks that exploit this kind of access
The rule that runs kubernetes_restart_deployment safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Framework Personal, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For kubernetes_restart_deployment, this is the rule to start with:
kubernetes_restart_deployment 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 MCP Framework Personal, apply this rule, and every kubernetes_restart_deployment call is checked against it from then on.
Questions about kubernetes_restart_deployment
kubernetes_restart_deployment is a execute tool on the MCP Framework Personal MCP server. It is categorised as a Execute tool in the MCP Framework Personal MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Framework Personal MCP server in PolicyLayer and add a rule for kubernetes_restart_deployment: 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 Framework Personal. Nothing to install.
kubernetes_restart_deployment 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 kubernetes_restart_deployment 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 kubernetes_restart_deployment. 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.
kubernetes_restart_deployment is provided by the MCP Framework Personal MCP server (inggerman/mcps). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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