AI agents call get_secret to retrieve information from K8s without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves Kubernetes secrets, which are sensitive credentials, configuration data, and tokens. While categorized as Read (no destructive changes), the severity is high because secrets often contain passwords, API keys, and authentication tokens. Misuse by an AI agent could expose critical credentials.
From the tool's definition Tool name is 'get_secret' and context indicates it retrieves Kubernetes secrets. The description is empty, but the name and sibling tools (get_configmap, describe_resource) clearly indicate a read operation that queries sensitive data.
Attacks that exploit this kind of access
get_secret. It is categorised as a Read tool in the K8s MCP Server, which means it retrieves data without modifying state.
Register the K8s MCP server in PolicyLayer and add a rule for get_secret: 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 K8s. Nothing to install.
get_secret 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_secret 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_secret. 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_secret is provided by the K8s MCP server (jingyanjiang/k8s-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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