list-pricing-rules-for-plan
AI agents call list-pricing-rules-for-plan 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 contains 'list', which is a Read operation that retrieves data without modification or side effects. Although the description is empty, the naming pattern strongly suggests this retrieves pricing rule configuration data. No creation, modification, deletion, code execution, or financial transaction is implied. The low severity reflects that pricing rule information is typically non-sensitive metadata.
From the tool's definition Tool name 'list-pricing-rules-for-plan' indicates a query/retrieval operation that lists existing pricing rules for a plan, consistent with Read category operations (list, get, fetch).
Attacks that exploit this kind of access
list-pricing-rules-for-plan. 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-pricing-rules-for-plan: 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-pricing-rules-for-plan 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-pricing-rules-for-plan 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-pricing-rules-for-plan. 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-pricing-rules-for-plan 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.