List Kubernetes CronJobs with schedule, suspension status, active jobs,
AI agents call k8s_get_cronjobs to retrieve information from Multi Cluster Kubernetes MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool lists/reads CronJob resources from Kubernetes clusters without modifying any state. It only retrieves schedule, suspension status, and active job information, making it a pure read operation with minimal blast radius.
From the tool's definition 'List Kubernetes CronJobs with schedule, suspension status, active jobs' — purely retrieves and displays information about CronJobs
Documented attack patterns abuse exactly the kind of access k8s_get_cronjobs gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Multi Cluster Kubernetes MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for k8s_get_cronjobs:
{
"version": "1",
"default": "deny",
"tools": {
"k8s_get_cronjobs": {}
}
} k8s_get_cronjobs is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List Kubernetes CronJobs with schedule, suspension status, active jobs,. It is categorised as a Read tool in the Multi Cluster Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Multi Cluster Kubernetes MCP Server MCP server in PolicyLayer and add a rule for k8s_get_cronjobs: 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 Multi Cluster Kubernetes MCP Server. Nothing to install.
k8s_get_cronjobs 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 k8s_get_cronjobs 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 k8s_get_cronjobs. 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.
k8s_get_cronjobs is provided by the Multi Cluster Kubernetes MCP Server MCP server (razvanmacovei/k8s-multicluster-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Multi Cluster Kubernetes MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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57 Multi Cluster Kubernetes MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.