search_eks_troubleshoot_guide
AI agents call search_eks_troubleshoot_guide to retrieve information from Amazon SageMaker AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool appears to search or retrieve troubleshooting guides for AWS EKS (Elastic Kubernetes Service). Search operations are inherently read-only queries that retrieve information without modifying, deleting, or executing code. Even if an AI agent misuses this tool, it cannot cause harm beyond information disclosure or poor decision-making based on retrieved data.
From the tool's definition Tool name 'search_eks_troubleshoot_guide' indicates a query/search operation for documentation or troubleshooting information.
Attacks that exploit this kind of access
search_eks_troubleshoot_guide. It is categorised as a Read tool in the Amazon SageMaker AI MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for search_eks_troubleshoot_guide: 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 SageMaker AI MCP Server. Nothing to install.
search_eks_troubleshoot_guide 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 search_eks_troubleshoot_guide 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 search_eks_troubleshoot_guide. 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.
search_eks_troubleshoot_guide is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.