Run deep multi-source research on a topic. Produces a structured report with key findings, entity map, and information gaps. WHEN TO USE: For thorough investigation of a topic requiring analysis across many sources. Use veroq_search for quick lookups instead. RETURNS: Summary, key findings, analy...
AI agents call veroq_research 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.
The tool retrieves and aggregates information from multiple sources to produce a structured research report. It reads and analyzes data but does not create, modify, delete, or trigger financial transactions. Severity is medium because it consumes 3 credits per use and could be misused to gather sensitive intelligence at scale, but there is no direct destructive or financial action.
From the tool's definition Run deep multi-source research on a topic. Produces a structured report with key findings, entity map, and information gaps.
Attacks that exploit this kind of access
Run deep multi-source research on a topic. Produces a structured report with key findings, entity map, and information gaps. WHEN TO USE: For thorough investigation of a topic requiring analysis across many sources. Use veroq_search for quick lookups instead. RETURNS: Summary, key findings, analysis, confidence assessment, entity map (with co-occurrences), information gaps, and sources used. COST: 3 credits. 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_research: 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_research 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_research 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_research. 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_research 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.
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