Gets detailed information about a table - args: keyspace, table
AI agents call describeTable 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.
This tool retrieves metadata about a table structure without modifying, deleting, or executing any operations. It is a standard read operation similar to DESCRIBE or SHOW TABLE commands in database systems. The blast radius of misuse is minimal—an attacker could learn about table schemas but cannot modify data, execute code, or cause destructive changes.
From the tool's definition describeTable gets detailed information about a table with arguments for keyspace and table. The verb 'describe' and the retrieval-only nature (no modification or deletion parameters) indicate this is a query operation.
Attacks that exploit this kind of access
Gets detailed information about a table - args: keyspace, table. 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 describeTable: 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.
describeTable 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 describeTable 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 describeTable. 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.
describeTable 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.