AI agents call correct_hallucinations as a supporting operation in Vectara MCP server workflows.
The description is empty, so the classification is based solely on the tool name. 'correct_hallucinations' likely evaluates or corrects AI-generated text for factual accuracy, similar to the sibling 'eval_factual_consistency' tool. This would be a Read/analysis operation with no significant side effects. However, without a description, confidence is very low.
From the tool's definition Tool name is 'correct_hallucinations'; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access correct_hallucinations gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vectara MCP server, and nothing reaches the server without passing your rules. This is the rule we recommend for correct_hallucinations:
{
"version": "1",
"default": "deny",
"tools": {
"correct_hallucinations": {
"limits": [
{
"counter": "correct_hallucinations_rate",
"window": "minute",
"max": 60,
"scope": "grant"
}
]
}
}
} correct_hallucinations gets a rate cap, and everything else on the server is denied unless you say otherwise.
Free to start. No card required.
correct_hallucinations. It is categorised as a Other tool in the Vectara MCP server MCP Server, which means it performs auxiliary operations.
Register the Vectara MCP server MCP server in PolicyLayer and add a rule for correct_hallucinations: 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 Vectara MCP server. Nothing to install.
correct_hallucinations is a Other tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the correct_hallucinations 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 correct_hallucinations. 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.
correct_hallucinations is provided by the Vectara MCP server MCP server (vectara/vectara-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Vectara 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.
6 Vectara MCP server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.