List all embedded data fields currently defined in a survey
AI agents call list_embedded_data to retrieve information from Qualtrics 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 and queries embedded data field definitions from a survey without creating, modifying, deleting, or executing any operations. It is a pure read operation that returns existing metadata about survey configuration.
From the tool's definition Tool name 'list_embedded_data' and description 'List all embedded data fields currently defined in a survey' indicate a retrieval operation with no modification or side effects.
Documented attack patterns abuse exactly the kind of access list_embedded_data gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qualtrics MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for list_embedded_data:
{
"version": "1",
"default": "deny",
"tools": {
"list_embedded_data": {}
}
} list_embedded_data is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all embedded data fields currently defined in a survey. It is categorised as a Read tool in the Qualtrics MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Qualtrics MCP Server MCP server in PolicyLayer and add a rule for list_embedded_data: 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 Qualtrics MCP Server. Nothing to install.
list_embedded_data 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 list_embedded_data 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 list_embedded_data. 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.
list_embedded_data is provided by the Qualtrics MCP Server MCP server (yrvelez/qualtrics-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Qualtrics MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
57 Qualtrics MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.