Get all jobs
AI agents call get_jobs to retrieve information from 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 retrieves or queries Kubernetes job objects without side effects. It performs a read-only operation to list or fetch job information from the cluster. No data is created, modified, deleted, or executed. The low severity reflects that unauthorized access to job metadata poses minimal immediate risk compared to tools like delete_deployment on the same server.
From the tool's definition Tool name 'get_jobs' and description 'Get all jobs' indicate a retrieval operation with no modification or deletion of data.
Attacks that exploit this kind of access
Get all jobs. It is categorised as a Read tool in the Kubernetes MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Kubernetes MCP Server MCP server in PolicyLayer and add a rule for get_jobs: 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 Kubernetes MCP Server. Nothing to install.
get_jobs 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_jobs 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_jobs. 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_jobs is provided by the Kubernetes MCP Server MCP server (surukanti/k8s-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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