Search verified intelligence briefs by keyword or topic. WHEN TO USE: When looking for specific news, events, or coverage on a topic. Use veroq_ask for natural-language questions instead. RETURNS: Array of briefs with headline, confidence score, category, summary, and brief ID. COST: 1 credit. EX...
AI agents call veroq_search to retrieve information from Veroq without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a read-only retrieval operation. It queries a database of intelligence briefs and returns structured information without side effects. The tool has no ability to modify data, execute code, trigger external operations, delete content, or move money.
From the tool's definition Tool 'veroq_search' searches and retrieves verified intelligence briefs by keyword or topic, returning an array of briefs with headline, confidence score, category, summary, and brief ID.
Attacks that exploit this kind of access
Search verified intelligence briefs by keyword or topic. WHEN TO USE: When looking for specific news, events, or coverage on a topic. Use veroq_ask for natural-language questions instead. RETURNS: Array of briefs with headline, confidence score, category, summary, and brief ID. COST: 1 credit. EXAMPLE: {. It is categorised as a Read tool in the Veroq MCP Server, which means it retrieves data without modifying state.
Register the Veroq MCP server in PolicyLayer and add a rule for veroq_search: 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 Veroq. Nothing to install.
veroq_search 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 veroq_search 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 veroq_search. 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.
veroq_search is provided by the Veroq MCP server (veroq-ai/veroq-mcp). 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.
Teams ship this data inside their own products. See what a licence covers →