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JerBouma

Finance Toolkit

macroeconomics

Read-onlyIdempotent

Retrieve macroeconomic indicators such as GDP, inflation rate, and trade balance for one or more countries, with options for date ranges, quarterly frequency, growth rates, and inflation adjustment.

Instructions

Macroeconomic indicators by country (GDP, CPI, inflation rate, trade balance, imports, exports, investment, consumption, business/consumer confidence, house prices, rent prices, exchange rates). Requires countries='United States' — use comma-separated values for multiple countries. Do NOT use tickers= for this tool. Supports start_date/end_date and quarterly=true.

Available indicators: get_business_confidence_index, get_composite_leading_indicator, get_consumer_confidence_index, get_consumer_price_index, get_current_account_balance, get_current_account_balance_to_gdp_ratio, get_exchange_rates, get_exports, get_exports_to_gdp_ratio, get_fixed_investment, get_fixed_investment_to_gdp_ratio, get_gross_domestic_product, get_gross_domestic_product_deflator, get_house_prices, get_imports, get_imports_to_gdp_ratio, get_inflation_rate, get_investment, get_investment_to_gdp_ratio, get_money_supply, get_rent_prices, get_share_prices, get_total_consumption, get_total_consumption_to_gdp_ratio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lagNoNumber of periods to lag when computing growth rates.
growthNoReturn period-over-period growth rates instead of absolute values.
periodNoObservation frequency, e.g. 'monthly', 'quarterly', or 'annual'.
measureNoSub-measure selector, e.g. 'M1', 'M2', or 'M3' for money supply.
end_dateNoEnd of the date range in YYYY-MM-DD format.2026-06-27
countriesNoComma-separated country names, e.g. 'United States,Germany,Japan'.
indicatorYesName of the specific metric to calculate, e.g. 'get_asset_turnover_ratio'. Required — omitting it returns the list of available indicators.
quarterlyNoReturn quarterly data instead of annual when True.
start_dateNoStart of the date range in YYYY-MM-DD format.2021-06-28
gmdb_sourceNoUse the OECD Global Macro Data Bank as the data source when True.
show_columnsNoComma-separated names to filter the output. For historical data use the key names visible in any response record (e.g. 'Close,Volume,Return'). For financial statements use the 'metric' field values from the response (e.g. 'Revenue,Net Income,EBITDA'). Call the tool once without this parameter to see all available names, then repeat with show_columns to reduce response size and token usage.
inflation_adjustedNoAdjust nominal values for inflation when True.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint, idempotentHint, openWorldHint. Description adds that omitting indicator returns list of available indicators, which is useful but not extensive behavioral detail. No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with purpose, then usage notes, then indicator list. Each section is clear, though the list of 24 indicators could be considered lengthy. Overall well-structured and efficient.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Covers key behavioral aspects: required parameter usage, date range, quarterly flag, inflation adjustment, output filtering. Output schema exists so return values not needed. Adequate for the tool's complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema has 100% description coverage, so baseline is 3. Description adds value by clarifying that 'indicator' omission returns list, 'countries' requires comma-separated names, and 'show_columns' usage pattern.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it retrieves macroeconomic indicators by country and lists specific indicators like GDP, CPI, inflation rate. It distinguishes the tool's domain from sibling tools focused on other financial metrics, though it does not explicitly contrast with siblings.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Provides specific usage instructions: requires countries parameter (defaults to United States), warns against using tickers=, supports start_date/end_date and quarterly=true, and lists all available indicators for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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