AI agents call json_objkeys to retrieve information from Amazon EKS 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 object keys from a JSON structure—a read-only query operation with no side effects. It returns metadata about data structure rather than executing commands, writing data, or performing destructive actions. The low severity reflects minimal blast radius if misused: an agent could only extract structural information, not compromise systems or data integrity.
From the tool's definition Tool name 'json_objkeys' and description 'Get the keys in the object at path' indicate a retrieval operation that queries structure/metadata without modifying data.
Documented attack patterns abuse exactly the kind of access json_objkeys gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon EKS MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for json_objkeys:
{
"version": "1",
"default": "deny",
"tools": {
"json_objkeys": {}
}
} json_objkeys is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the keys in the object at path. It is categorised as a Read tool in the Amazon EKS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon EKS MCP Server MCP server in PolicyLayer and add a rule for json_objkeys: 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 Amazon EKS MCP Server. Nothing to install.
json_objkeys 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 json_objkeys 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 json_objkeys. 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.
json_objkeys is provided by the Amazon EKS MCP Server MCP server (awslabs.eks-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Amazon EKS 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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805 Amazon EKS MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.