Low Risk

release_calendar

Get upcoming scheduled macroeconomic release timestamps for a currency. Use this when the user asks 'when is the next CPI/GDP/payrolls/policy decision', or to plan a trade around a known release. Returns ISO-8601 announcement_datetime values in UTC; each row has a release string with the indicato...

Part of the FXMacroData server.

release_calendar 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 release_calendar 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 release_calendar 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": {
    "release_calendar": {}
  }
}

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These attack patterns abuse exactly the kind of access release_calendar 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 release_calendar 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 release_calendar tool do? +

Get upcoming scheduled macroeconomic release timestamps for a currency. Use this when the user asks 'when is the next CPI/GDP/payrolls/policy decision', or to plan a trade around a known release. Returns ISO-8601 announcement_datetime values in UTC; each row has a release string with the indicator name and a currency code. Pass an optional indicator filter to narrow to a single series. Supported currencies: AED, ARS, AUD, BOB, BRL, CAD, CHF, CLP, CNH, CNY, COMM, COP, CZK, DKK, DZD, EGP, EUR, GBP, HKD, HUF, IDR, ILS, INR, JPY, KRW, MAD, MXN, MYR, NGN, NOK, NZD, PEN, PHP, PKR, PLN, RUB, SAR, SEK, SGD, THB, TRY, TWD, USD, UYU, VND, ZAR. Supported indicators: average_hourly_earnings, balance_on_goods, balance_on_services, boc_business_outlook, breakeven_inflation_rate, broad_money, building_approvals, building_permits, business_confidence, business_sentiment, cb_assets, cb_reserves_domestic_currency, cb_reserves_foreign_currency, cb_reserves_gold, commodity_price_energy, commodity_price_ex_energy, commodity_price_index, commodity_prices, consumer_confidence, consumer_expectations, consumer_sentiment, core_inflation, core_inflation_median, core_inflation_mom, core_inflation_trim, core_pce, credit_growth, current_account_balance, deposit_rates, domestic_credit, durable_goods_orders, employment, exports, foreign_reserves, full_time_employment, fx_reserves, gdp, gdp_quarterly, gold_reserves, gov_bond_10y, gov_bond_1y, gov_bond_20y, gov_bond_2y, gov_bond_30y, gov_bond_3y, gov_bond_40y, gov_bond_4y, gov_bond_5y, gov_bond_7y, government_debt, house_price_index, house_prices, household_credit, housing_starts, imports, industrial_production, inflation, inflation_expectations, inflation_linked_bond, inflation_mom, initial_jobless_claims, job_openings, kof_barometer, m1, m2, m3, money_supply_currency, money_supply_savings_deposits, money_supply_term_deposits, money_supply_transaction_deposits, monthly_cpi, mortgage_rate, nairu, nmi, non_farm_payrolls, part_time_employment, participation_rate, pce, pce_mom, pmi, policy_rate, ppi, ppi_mom, private_sector_credit, real_exchange_rate, retail_sales, risk_free_rate, sight_deposits, snb_balance_sheet, tankan_capex, terms_of_trade, trade_balance, trade_weighted_index, trimmed_mean_inflation, unemployment, wage_price_index, wages.. 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 release_calendar? +

Register the FXMacroData MCP server in PolicyLayer and add a rule for release_calendar: 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 release_calendar? +

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

Can I rate-limit release_calendar? +

Yes. Add a rate_limit block to the release_calendar 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 release_calendar completely? +

Set action: deny in the PolicyLayer policy for release_calendar. 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 release_calendar? +

release_calendar 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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