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JerBouma

Finance Toolkit

by JerBouma
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

liquidity

Read-onlyIdempotent

Compute current, quick, and cash ratios plus working capital from tickers to assess short-term financial health, avoiding raw statement analysis.

Instructions

Pre-computed liquidity ratios (current ratio, quick ratio, cash ratio, working capital). Requires tickers='AAPL' — use comma-separated values for multiple tickers. Use instead of raw financial statements. Supports quarterly=true and start_date/end_date.

Available indicators: get_current_ratio, get_quick_ratio, get_cash_ratio, get_working_capital, get_operating_cash_flow_ratio, get_operating_cash_flow_sales_ratio, get_short_term_coverage_ratio, get_defensive_interval_ratio.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lagNoNumber of periods to lag when computing growth rates.
daysNoNumber of calendar days used in day-count-based calculations.
growthNoReturn period-over-period growth rates instead of absolute values.
tickersNoComma-separated ticker symbols, e.g. 'AAPL,MSFT,GOOGL'.
end_dateNoEnd of the date range in YYYY-MM-DD format.2026-10-02
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.
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.2021-10-03
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.
benchmark_tickerNoTicker used as the market benchmark, e.g. 'SPY' or '^GSPC'.SPY

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. 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"
  2. Changed4 schema fields changedv2.2.0
    • addedInput schema / properties / days
      Added value: +{
+  "anyOf": [
+    {
+      "type": "number"
+    },
+    {
+      "type": "null"
+    }
+  ],
+  "default": null,
+  "description": "Number of calendar days used in day-count-based calculations.",
+  "title": "Days"
+}
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-07-14"New value: +"2026-08-19"
    • changedInput schema / properties / indicator / enum
      Previous value: -[
-  "get_current_ratio",
-  "get_quick_ratio",
-  "get_cash_ratio",
-  "get_working_capital",
-  "get_operating_cash_flow_ratio",
-  "get_operating_cash_flow_sales_ratio",
-  "get_short_term_coverage_ratio"
-]New value: +[
+  "get_current_ratio",
+  "get_quick_ratio",
+  "get_cash_ratio",
+  "get_working_capital",
+  "get_operating_cash_flow_ratio",
+  "get_operating_cash_flow_sales_ratio",
+  "get_short_term_coverage_ratio",
+  "get_defensive_interval_ratio"
+]
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-07-15"New value: +"2021-08-20"
  3. Changed4 schema fields changed
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-07-09"New value: +"2026-07-14"
    • 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"
    • changedInput schema / properties / trailing / description
      Previous value: -"Number of trailing periods for rolling-window calculations."New value: +"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."
  4. 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"
  5. 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"
  6. 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"
  7. Addedv0.1.1

TDQS

A3.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds that values are pre-computed and lists the supported indicators, but says nothing about response shape, empty results, or rate/coverage limits. Adequate, not rich.

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 metric list, then usage notes, then indicators. Tight overall, though the indicator enumeration largely duplicates the schema enum and costs tokens the schema already spends.

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 an output schema present and full parameter descriptions, the description needn't explain returns; it covers the primary tickers/date/quarterly controls. Slight gap: it asserts 'Requires tickers=...' while the schema marks tickers optional with a default and only 'indicator' required, which could mislead a caller.

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%, so the schema already explains lag, days, growth, trailing, standardize, show_columns, and benchmark_ticker. The description merely echoes tickers/quarterly/start_date/end_date, adding no syntax or semantics beyond the structured fields — the baseline 3.

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

Purpose5/5

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

States a specific verb+resource ('Pre-computed liquidity ratios') and enumerates the exact metrics covered, which cleanly separates it from siblings like solvency, profitability, and efficiency. An agent can select it without opening the enum.

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 a clear 'use instead of raw financial statements' routing rule plus ticker and date-range usage notes, but never frames when to prefer this over the sibling ratio families (solvency, profitability) that an agent is choosing among. Context is present, exclusions are not.

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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