Low Risk

data_catalogue

List every macroeconomic indicator FXMacroData publishes for a currency, with units and frequency. ALWAYS call this first when the user asks about a country's macro data — it returns the exact indicator slug strings to pass to indicator_query, release_calendar, and indicator_visual_artifact. Chea...

Risk signalsBulk/mass operation — affects multiple targets

Part of the FXMacroData server.

data_catalogue is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call data_catalogue to retrieve information from FXMacroData without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though data_catalogue only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "data_catalogue": {}
  }
}

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These attack patterns abuse exactly the kind of access data_catalogue gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so data_catalogue only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the data_catalogue tool do? +

List every macroeconomic indicator FXMacroData publishes for a currency, with units and frequency. ALWAYS call this first when the user asks about a country's macro data — it returns the exact indicator slug strings to pass to indicator_query, release_calendar, and indicator_visual_artifact. Cheap, cacheable, and safe to call on every new conversation. Supported currencies (lowercase 3-letter codes): AED, ARS, AUD, BOB, BRL, CAD, CHF, CLP, COP, CZK, DKK, DZD, EGP, EUR, GBP, HKD, HUF, IDR, ILS, INR, JPY, MAD, MXN, MYR, NGN, NOK, NZD, PEN, PHP, PKR, PLN, RUB, SAR, SEK, THB, TRY, TWD, USD, UYU, VND.. It is categorised as a Read tool in the FXMacroData MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on data_catalogue? +

Register the FXMacroData MCP server in PolicyLayer and add a rule for data_catalogue: 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 FXMacroData. Nothing to install.

What risk level is data_catalogue? +

data_catalogue is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit data_catalogue? +

Yes. Add a rate_limit block to the data_catalogue 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.

How do I block data_catalogue completely? +

Set action: deny in the PolicyLayer policy for data_catalogue. 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.

What MCP server provides data_catalogue? +

data_catalogue is provided by the FXMacroData MCP server (https://fxmacrodata.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every FXMacroData tool call.

Deterministic rules across all 15 FXMacroData tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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