获取Kubernetes资源的日志
AI agents call kubectl_logs 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 and queries log data from Kubernetes resources. It is a read-only operation that does not create, modify, delete, or execute code. The blast radius is low since it only accesses existing observability data without affecting cluster state or resources.
From the tool's definition Tool name 'kubectl_logs' and description '获取Kubernetes资源的日志' (Get logs from Kubernetes resources) indicate retrieval of existing log data with no modification or side effects.
Attacks that exploit this kind of access
获取Kubernetes资源的日志. 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 kubectl_logs: 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.
kubectl_logs 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 kubectl_logs 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 kubectl_logs. 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.
kubectl_logs is provided by the Kubernetes MCP Server MCP server (secret-deus/kubernetes-mcp). 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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