get_study_primary_image_sets
AI agents call get_study_primary_image_sets 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 name strongly indicates a retrieval operation returning image sets associated with a study, consistent with Read category (no modification or deletion). Without a description, confidence is reduced from high to medium-high (0.7). Severity is low given the read-only nature and typical context of retrieving study images in medical/research workflows.
From the tool's definition Tool name 'get_study_primary_image_sets' indicates data retrieval operation; 'get_' prefix and plural noun form suggest fetching existing image set metadata/identifiers. No description provided to confirm, lowering confidence slightly.
Attacks that exploit this kind of access
get_study_primary_image_sets. 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 get_study_primary_image_sets: 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.
get_study_primary_image_sets 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_study_primary_image_sets 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_study_primary_image_sets. 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_study_primary_image_sets 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.