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JerBouma

Finance Toolkit

government

Read-onlyIdempotent

Retrieve fiscal metrics by country—debt, deficit, expenditure, revenue, tax revenue, and trust—with date, level, and smoothing controls.

Instructions

Government fiscal metrics by country (debt, deficit, expenditure, revenue, tax revenue, trust in government). Requires countries='United States' — use comma-separated values for multiple countries. Do NOT use tickers= for this tool. Supports start_date/end_date. Most series are yearly: quarterly=true returns quarterly data only where a source has it (a note says when it does not). Supports rolling=N (moving-average smoothing) and trailing=N (trailing N-period sum, e.g. a trailing-4-quarter sum) on the raw series. level='consolidated' (default, longest history), 'general' (general government) or 'central' (central government) selects the level of government for debt, deficit, expenditure, revenue and tax revenue.

Input Schema

NameRequiredDescriptionDefault
lagNoNumber of periods to lag when computing growth rates.
levelNoLevel of government: 'consolidated' (longest history), 'general' (central, state and local government and social security) or 'central'.consolidated
limitNoThe rows to return, like head and tail: 5 for the first five, -5 for the last five (the most recent of a time series). A table with its periods as columns (financial statements, ratios) keeps its first or last periods instead. For ETF holdings the largest (or, negative, the smallest) by weight, and for a list (e.g. news or a screener) its length.
growthNoReturn period-over-period growth rates instead of absolute values.
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.2026-10-27
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.
countriesNoCountry names, comma-separated or as a list, e.g. 'United States,Germany,Japan'.
indicatorYesName of the specific metric to calculate, one of the listed values. Required — search_metrics finds the indicator (and its tool) for a metric by name.
quarterlyNoReturn quarterly data instead of annual when True.
start_dateNoStart of the date range in YYYY-MM-DD format.2021-10-28
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.
gmdb_forecastsNoSet to true to include the years the Global Macro Database projects (IMF World Economic Outlook, up to five years ahead); by default a yearly series ends with its last observation.

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv2.3.0
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-10-14"New value: +"2026-10-27"
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-10-15"New value: +"2021-10-28"
  2. Changed21 schema fields changedv2.2.3
    • addedInput schema / properties / countries / anyOf
      Added value: +[
      +  {
      +    "type": "string"
      +  },
      +  {
      +    "items": {
      +      "type": "string"
      +    },
      +    "type": "array"
      +  }
      +]
    • changedInput schema / properties / countries / description
      Previous value: -"Comma-separated country names, e.g. 'United States,Germany,Japan'."New value: +"Country names, comma-separated or as a list, e.g. 'United States,Germany,Japan'."
    • removedInput schema / properties / countries / title
      Removed value: -"Countries"
    • removedInput schema / properties / countries / type
      Removed value: -"string"
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-10-02"New value: +"2026-10-14"
    • removedInput schema / properties / end_date / title
      Removed value: -"End Date"
    • addedInput schema / properties / gmdb_forecasts
      Added value: +{
      +  "default": false,
      +  "description": "Set to true to include the years the Global Macro Database projects (IMF World Economic Outlook, up to five years ahead); by default a yearly series ends with its last observation.",
      +  "type": "boolean"
      +}
    • removedInput schema / properties / growth / title
      Removed value: -"Growth"
    • changedInput schema / properties / indicator / description
      Previous value: -"Name of the specific metric to calculate, e.g. 'get_asset_turnover_ratio'. Required — omitting it returns the list of available indicators."New value: +"Name of the specific metric to calculate, one of the listed values. Required — search_metrics finds the indicator (and its tool) for a metric by name."
    • removedInput schema / properties / indicator / title
      Removed value: -"Indicator"
    • removedInput schema / properties / lag / title
      Removed value: -"Lag"
    • addedInput schema / properties / level
      Added value: +{
      +  "default": "consolidated",
      +  "description": "Level of government: 'consolidated' (longest history), 'general' (central, state and local government and social security) or 'central'.",
      +  "type": "string"
      +}
    • addedInput schema / properties / limit
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "integer"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "The rows to return, like head and tail: 5 for the first five, -5 for the last five (the most recent of a time series). A table with its periods as columns (financial statements, ratios) keeps its first or last periods instead. For ETF holdings the largest (or, negative, the smallest) by weight, and for a list (e.g. news or a screener) its length."
      +}
    • removedInput schema / properties / quarterly / title
      Removed value: -"Quarterly"
    • removedInput schema / properties / rolling / title
      Removed value: -"Rolling"
    • removedInput schema / properties / show_columns / title
      Removed value: -"Show Columns"
    • removedInput schema / properties / standardize / title
      Removed value: -"Standardize"
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-10-03"New value: +"2021-10-15"
    • removedInput schema / properties / start_date / title
      Removed value: -"Start Date"
    • removedInput schema / properties / trailing / title
      Removed value: -"Trailing"
    • removedInput schema / title
      Removed value: -"governmentArguments"
  3. Changed2 schema fields changedv2.2.1
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-08-19"New value: +"2026-10-02"
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-08-20"New value: +"2021-10-03"
  4. Changed2 schema fields changedv2.2.0
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-07-14"New value: +"2026-08-19"
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-07-15"New value: +"2021-08-20"
  5. Changed5 schema fields changed
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-07-09"New value: +"2026-07-14"
    • addedInput schema / properties / rolling
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "integer"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Rolling 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.",
      +  "title": "Rolling"
      +}
    • addedInput schema / properties / standardize
      Added value: +{
      +  "default": false,
      +  "description": "Return 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.",
      +  "title": "Standardize",
      +  "type": "boolean"
      +}
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-07-10"New value: +"2021-07-15"
    • addedInput schema / properties / trailing
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "integer"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Trailing 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.",
      +  "title": "Trailing"
      +}
  6. Changed2 schema fields changedv2.1.4
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-06-27"New value: +"2026-07-09"
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-06-28"New value: +"2021-07-10"
  7. Changed2 schema fields changedv2.1.3
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-06-23"New value: +"2026-06-27"
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-06-24"New value: +"2021-06-28"
  8. Changed4 schema fields changedv0.1.2
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-06-22"New value: +"2026-06-23"
    • removedInput schema / properties / rounding
      Removed value: -{
      -  "anyOf": [
      -    {
      -      "type": "integer"
      -    },
      -    {
      -      "type": "null"
      -    }
      -  ],
      -  "default": null,
      -  "description": "Number of decimal places to round results to.",
      -  "title": "Rounding"
      -}
    • addedInput schema / properties / show_columns
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Comma-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.",
      +  "title": "Show Columns"
      +}
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-06-23"New value: +"2021-06-24"
  9. Addedv0.1.1

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnly/openWorld/idempotent, so the safety profile is covered. The description still adds real behavioral context beyond them: yearly series by default, quarterly only where a source provides it with a note when it doesn't, and how rolling/trailing transform the raw series. Return format is left to the output schema.

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 the resource and the hard countries constraint before mechanics. Dense but each sentence carries information; a few clauses (rolling/trailing explanation) duplicate the schema and could be trimmed.

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?

With 14 parameters, full schema coverage, annotations and an output schema, the description covers the decision-relevant surface: required country input, frequency behavior, transformation flags, and level selection. Nothing critical is missing for correct invocation.

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

Parameters3/5

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

Schema description coverage is 100% and every parameter is documented there, so the baseline is 3. The description mostly restates schema content (level options, rolling/trailing definitions, quarterly) — the only genuine addition is the mandatory countries-value constraint, which is valuable but narrow.

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?

States a specific resource (government fiscal metrics by country) and enumerates the covered metrics — debt, deficit, expenditure, revenue, tax revenue, trust. It clearly separates itself from ticker-based siblings via 'Do NOT use tickers= for this tool', though it never names the nearest siblings (macroeconomics, rates) explicitly.

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?

Gives concrete usage rules: countries is required and must be 'United States' for a single country, comma-separated for multiples, tickers= is forbidden, and level values are explained with defaults. Missing only an explicit when-to-use-this-vs-macroeconomics statement and any exclusions around date ranges.

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