Generate a forward-looking forecast for a topic based on intelligence trends, momentum, and historical patterns. WHEN TO USE: When you need predictive analysis — likely outcomes, scenarios, and risk factors for a topic. RETURNS: Outlook, confidence, time horizon, key drivers, risks, probability-w...
AI agents call veroq_forecast 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 pure Read operation. The tool queries market data and applies analytical models to produce forecasts, but does not execute trades, modify data, delete records, or commit financial obligations.
From the tool's definition Tool generates forecast analysis and returns 'Outlook, confidence, time horizon, key drivers, risks, probability-weighted scenarios, and supporting briefs' — it retrieves and analyzes existing data to produce predictive insights with no modification of…
Attacks that exploit this kind of access
Generate a forward-looking forecast for a topic based on intelligence trends, momentum, and historical patterns. WHEN TO USE: When you need predictive analysis — likely outcomes, scenarios, and risk factors for a topic. RETURNS: Outlook, confidence, time horizon, key drivers, risks, probability-weighted scenarios, and supporting briefs. COST: 2 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_forecast: 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_forecast 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_forecast 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_forecast. 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_forecast 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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