Get sample data from datasets
AI agents call get_dataset_sample to retrieve information from Dataiku DSS 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 or queries sample data from existing datasets without creating, modifying, deleting, or executing any operations. It is a straightforward read operation with minimal risk, as it only exposes limited sample data rather than full datasets.
From the tool's definition Tool name 'get_dataset_sample' and description 'Get sample data from datasets' indicate a data retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
Get sample data from datasets. It is categorised as a Read tool in the Dataiku DSS MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Dataiku DSS MCP Server MCP server in PolicyLayer and add a rule for get_dataset_sample: 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 Dataiku DSS MCP Server. Nothing to install.
get_dataset_sample 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_dataset_sample 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_dataset_sample. 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_dataset_sample is provided by the Dataiku DSS MCP Server MCP server (steven0lisa/mcp-dataiku). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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