list_sub_check_results
AI agents call list_sub_check_results 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 naming pattern 'list_*' strongly suggests this is a query operation that retrieves existing check results. No description is provided, which lowers confidence slightly, but the semantic meaning of 'list' aligns with the Read category. There is no evidence of modification, deletion, code execution, or financial operations.
From the tool's definition Tool name 'list_sub_check_results' indicates retrieval/querying of check results. The verb 'list' is characteristic of read operations that enumerate or fetch data without side effects.
Attacks that exploit this kind of access
list_sub_check_results. 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 list_sub_check_results: 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.
list_sub_check_results 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 list_sub_check_results 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 list_sub_check_results. 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.
list_sub_check_results 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.