AI agents call forecast_labor to retrieve information from MoneyChoice 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 tool that retrieves macroeconomic forecast data. It performs no modifications, deletions, code execution, or financial operations. Even though the data concerns labor markets and could inform financial decisions, the tool itself only reads/retrieves forecast information. The severity is low because misuse would at worst provide misleading information to an agent, not directly cause harm.
From the tool's definition Tool name 'forecast_labor' and description 'Get macroeconomic forecast for labor indicators' indicate data retrieval only.
Documented attack patterns abuse exactly the kind of access forecast_labor gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MoneyChoice, and nothing reaches the server without passing your rules. This is the rule we recommend for forecast_labor:
{
"version": "1",
"default": "deny",
"tools": {
"forecast_labor": {}
}
}forecast_labor is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get macroeconomic forecast for labor indicators. It is categorised as a Read tool in the MoneyChoice MCP Server, which means it retrieves data without modifying state.
Register the MoneyChoice MCP server in PolicyLayer and add a rule for forecast_labor: 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 MoneyChoice. Nothing to install.
forecast_labor 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 forecast_labor 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 forecast_labor. 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.
forecast_labor is provided by the MoneyChoice MCP server (prmail/moneychoice_mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MoneyChoice, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 MoneyChoice tools catalogued and risk-classified — across an index of 43,000+ MCP servers.