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Glama
JerBouma

Finance Toolkit

by JerBouma

volatility

Read-onlyIdempotent

Calculate technical indicators like ATR, Bollinger Bands, and Supertrend from ticker price data automatically. Provide tickers to get metrics without fetching prices first.

Instructions

Volatility technical indicators (ATR, True Range). Applied to price data automatically — no need to fetch prices first. Requires tickers='AAPL' — use comma-separated values for multiple tickers.

Available indicators: get_bollinger_bands, get_true_range, get_average_true_range, get_supertrend, get_keltner_channels, get_donchian_channels, get_volatility_cone.

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'.daily
windowNoValue for window. Leave unset to use the default of the indicator you selected. Defaults are 14 for get_average_true_range, get_bollinger_bands, get_keltner_channels; 10 for get_supertrend; 20 for get_donchian_channels.
tickersNoComma-separated ticker symbols, e.g. 'AAPL,MSFT,GOOGL'.
windowsNoValue for windows.
end_dateNoEnd of the date range in YYYY-MM-DD format.2026-10-02
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.
atr_windowNoValue for atr_window.
multiplierNoValue for multiplier.
start_dateNoStart of the date range in YYYY-MM-DD format.2021-10-03
num_std_devNoValue for num_std_dev.
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.
close_columnNoValue for close_column.Adj Close
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.
atr_multiplierNoValue for atr_multiplier.
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. Changed9 schema fields changedv2.2.0
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-07-14"New value: +"2026-08-19"
    • changedInput schema / properties / indicator / enum
      Previous value: -[
      -  "get_bollinger_bands",
      -  "get_true_range",
      -  "get_average_true_range",
      -  "get_keltner_channels",
      -  "get_donchian_channels"
      -]New value: +[
      +  "get_bollinger_bands",
      +  "get_true_range",
      +  "get_average_true_range",
      +  "get_supertrend",
      +  "get_keltner_channels",
      +  "get_donchian_channels",
      +  "get_volatility_cone"
      +]
    • addedInput schema / properties / multiplier
      Added value: +{
      +  "default": 3,
      +  "description": "Value for multiplier.",
      +  "title": "Multiplier",
      +  "type": "number"
      +}
    • changedInput schema / properties / start_date / default
      Previous value: -"2021-07-15"New value: +"2021-08-20"
    • addedInput schema / properties / window / anyOf
      Added value: +[
      +  {
      +    "type": "integer"
      +  },
      +  {
      +    "type": "null"
      +  }
      +]
    • changedInput schema / properties / window / default
      Previous value: -14New value: +null
    • changedInput schema / properties / window / description
      Previous value: -"Value for window."New value: +"Value for window. Leave unset to use the default of the indicator you selected. Defaults are 14 for get_average_true_range, get_bollinger_bands, get_keltner_channels; 10 for get_supertrend; 20 for get_donchian_channels."
    • removedInput schema / properties / window / type
      Removed value: -"integer"
    • addedInput schema / properties / windows
      Added value: +{
      +  "anyOf": [
      +    {
      +      "type": "string"
      +    },
      +    {
      +      "type": "null"
      +    }
      +  ],
      +  "default": null,
      +  "description": "Value for windows.",
      +  "title": "Windows"
      +}
  3. Changed4 schema fields changed
    • changedInput schema / properties / end_date / default
      Previous value: -"2026-07-09"New value: +"2026-07-14"
    • changedInput schema / properties / indicator / enum
      Previous value: -[
      -  "get_bollinger_bands",
      -  "get_true_range",
      -  "get_average_true_range",
      -  "get_keltner_channels"
      -]New value: +[
      +  "get_bollinger_bands",
      +  "get_true_range",
      +  "get_average_true_range",
      +  "get_keltner_channels",
      +  "get_donchian_channels"
      +]
    • 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"
  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

A3.8/5.0
Behavior4/5

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 genuinely new behavioral context: it discloses that price data is fetched implicitly and that tickers must be supplied as a comma-separated list, which the agent could not infer from the 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?

Three short sentences, front-loaded with purpose, then the auto-fetch behavior, then the tickers rule and indicator roster. No filler, though the indicator enumeration duplicates the schema enum and the 'Requires tickers' claim is stated with more force than the schema warrants.

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?

For an 18-parameter tool with an output schema (so return values need not be explained), the description covers what the tool computes, that prices are auto-fetched, and the required input shape. The remaining gap is that it does not map which of the many indicator-specific parameters (atr_window, multiplier, num_std_dev, etc.) apply to which indicator, leaving the agent to infer this from the schema defaults.

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% but many parameter descriptions are generic ('Value for window', 'Value for multiplier'), so the schema is not fully self-explanatory. The description compensates on the two most important parameters by stating tickers format ('AAPL,MSFT,GOOGL') and naming the available indicator values; however, it never signals that 'indicator' is the only formally required field, and it flatly claims tickers is required when the schema lists it as optional.

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 names the resource (volatility technical indicators) and enumerates the concrete indicators (Bollinger Bands, True Range, ATR, Supertrend, Keltner, Donchian, volatility cone), so the agent knows exactly what this category tool computes. It does not explicitly differentiate itself from category siblings like momentum or risk, which keeps it short of a 5.

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

Usage Guidelines3/5

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

It gives one useful usage note ('price data is fetched automatically — no need to fetch prices first') and the tickers formatting rule, but never states when to pick volatility over momentum/risk siblings or how to choose among the seven indicators. Usage is implied from the indicator list rather than guided.

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