Perform a question-answering search. Best suited for direct questions that need specific answers.
AI agents call searchQNA to retrieve information from MCP Tavily without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries a search backend to retrieve answers to questions, which is a read-only operation with no side effects. It retrieves data without creating, modifying, or destructing resources. The low severity reflects minimal risk even if misused—an AI agent could retrieve irrelevant or sensitive information, but cannot alter systems or cause direct harm.
From the tool's definition Tool name 'searchQNA' and description 'Perform a question-answering search' indicate it retrieves information to answer questions. No description mentions modifying, deleting, executing, or moving data.
Documented attack patterns abuse exactly the kind of access searchQNA gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Tavily, and nothing reaches the server without passing your rules. This is the rule we recommend for searchQNA:
{
"version": "1",
"default": "deny",
"tools": {
"searchQNA": {}
}
}searchQNA is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Perform a question-answering search. Best suited for direct questions that need specific answers. It is categorised as a Read tool in the MCP Tavily MCP Server, which means it retrieves data without modifying state.
Register the MCP Tavily MCP server in PolicyLayer and add a rule for searchQNA: 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 MCP Tavily. Nothing to install.
searchQNA 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 searchQNA 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 searchQNA. 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.
searchQNA is provided by the MCP Tavily MCP server (kshern/mcp-tavily). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Tavily, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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4 MCP Tavily tools catalogued and risk-classified — across an index of 43,000+ MCP servers.