Get the full definition of a specific question including choices, validation, and configuration
AI agents call get_question 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 data from the Qualtrics platform without side effects. It does not create, modify, delete, or execute any operations. The blast radius of misuse is minimal—at worst, an agent could retrieve question definitions it should not have access to, which is a data confidentiality issue rather than a destructive or operational risk.
From the tool's definition Tool name 'get_question' and description 'Get the full definition of a specific question' indicate a retrieval operation with no modification, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access get_question 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 get_question:
{
"version": "1",
"default": "deny",
"tools": {
"get_question": {}
}
}get_question is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get the full definition of a specific question including choices, validation, and configuration. 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 get_question: 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.
get_question 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_question 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_question. 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_question 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.