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JerBouma

Finance Toolkit

by JerBouma

macroeconomics

Read-onlyIdempotent

Fetch macroeconomic indicators by country, including GDP, CPI, inflation, and trade. Adjust date range, frequency, and apply moving averages or trailing sums.

Instructions

Macroeconomic indicators by country (GDP, CPI, inflation rate, trade balance, imports, exports, investment, consumption, business/consumer confidence, house prices, rent prices, exchange rates, money supply). 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. Supports rolling=N (moving-average smoothing) and trailing=N (trailing N-period sum, e.g. a trailing-4-quarter sum) on the raw series.

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.
rollingNoRolling window size in number of periods. When set, the metric is computed over a smoothly overlapping trailing window across the full history (e.g. period='monthly' and rolling=6 gives a rolling 6-month value) instead of one value per period, or (for economics indicators) a simple moving average used to smooth the raw series.
end_dateNoEnd of the date range in YYYY-MM-DD format.2026-07-14
trailingNoTrailing window size in number of periods. Sums the raw values over the trailing N periods (e.g. trailing=4 on quarterly data gives a trailing-4-quarter / TTM-style sum) instead of returning one value per period.
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.2021-07-15
gmdb_sourceNoUse the OECD Global Macro Data Bank as the data source when True.
standardizeNoReturn the Z-Score (standard score) instead of the raw values, i.e. how many standard deviations each value is from the mean of its own series. When combined with growth=True, the growth values are standardized instead of the raw values.
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
Behavior4/5

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

Annotations already indicate readOnlyHint, idempotentHint, openWorldHint. The description adds valuable behavioral details: rolling applies moving-average smoothing, trailing sums over trailing periods, support for quarterly data, and the ability to standardize or adjust for inflation. No contradictions 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.

Conciseness3/5

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

The description is front-loaded with the core purpose and usage notes, but it includes a full list of 24 indicators that is also present in the schema enum. This redundancy makes it longer than necessary. It could be more concise by omitting the indicator list or referencing it only in the schema.

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?

Given the tool has 15 parameters, an output schema, and comprehensive schema descriptions, the description still adds essential usage notes like countries format, not using tickers, and detailed rolling/trailing behavior. It covers the critical aspects for correct invocation and interpretation.

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 coverage is 100%, so baseline 3. The description adds meaningful context beyond schema: clarifies that countries must be comma-separated, explains rolling and trailing semantics in more detail (e.g., 'smooth the raw series', 'TTM-style sum'), and warns against using tickers. This improves understanding of proper usage.

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 the tool provides macroeconomic indicators for countries and lists specific indicators like GDP, CPI, etc. It explicitly lists 24 indicator options, making the purpose unambiguous. However, it does not explicitly differentiate from sibling tools, though the economic focus is implied.

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?

The description provides specific usage instructions: requires the countries parameter (defaulting to 'United States'), forbids using tickers, explains date range parameters, and details rolling and trailing options. It lacks explicit alternatives or when-not-to-use guidance, but the context is clear.

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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