KendraQueryTool
AI agents call KendraQueryTool 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 appears designed to query AWS Kendra indexes and return search results. Query operations are Read-category actions that retrieve data. No description was provided, which lowers confidence slightly, but the name strongly suggests data retrieval rather than modification, execution, or deletion.
From the tool's definition Tool name 'KendraQueryTool' indicates a query operation. Kendra is AWS's managed search service; query tools typically retrieve search results without modifying data.
Attacks that exploit this kind of access
KendraQueryTool. 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 KendraQueryTool: 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.
KendraQueryTool 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 KendraQueryTool 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 KendraQueryTool. 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.
KendraQueryTool 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.