Lists all keyspaces in the Cassandra/Keyspaces database - args: none
AI agents call listKeyspaces 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 performs a read-only operation that queries and returns a list of database keyspaces. It has no parameters to modify data, delete resources, or trigger side effects. The blast radius of misuse is limited to information disclosure of database structure, which is low severity. Classification as Read is appropriate.
From the tool's definition Tool name 'listKeyspaces' and description 'Lists all keyspaces in the Cassandra/Keyspaces database' indicate a query/listing operation with no arguments that retrieves database metadata without modification.
Attacks that exploit this kind of access
Lists all keyspaces in the Cassandra/Keyspaces database - args: none. 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 listKeyspaces: 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.
listKeyspaces 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 listKeyspaces 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 listKeyspaces. 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.
listKeyspaces 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.