get_agent_runtime_endpoint
AI agents call get_agent_runtime_endpoint 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.
Based on the 'get_' prefix and context as a SageMaker tool, this appears to retrieve runtime endpoint information without modifying state. However, confidence is only moderate (0.6) because the description is empty, leaving ambiguity about whether this might trigger endpoint creation or modification as a side effect.
From the tool's definition Tool name 'get_agent_runtime_endpoint' indicates retrieval of an endpoint configuration/status. The prefix 'get_' is a strong signal of read-only data retrieval.
Attacks that exploit this kind of access
get_agent_runtime_endpoint. 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_agent_runtime_endpoint: 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_agent_runtime_endpoint 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_agent_runtime_endpoint 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_agent_runtime_endpoint. 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_agent_runtime_endpoint 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.