MoneyChoice
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tasks | {
"list": {},
"cancel": {},
"requests": {
"tools": {
"call": {}
},
"prompts": {
"get": {}
},
"resources": {
"read": {}
}
}
} |
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": true
} |
| resources | {
"subscribe": false,
"listChanged": true
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| forecast_commoditiesA | Macro forecasts for crude oil, natural gas, aluminium, and commodity volatility. Authentication: optional. Without an API key, the free tier is used. With a valid key
(header |
| forecast_currencyA | USD FX and volatility forecasts (USD/EUR, USD/AUD, USD/CNY, dollar index, euro FX vol). Optional API key via headers or |
| forecast_equitiesA | US equity outlook: S&P 500, VIX, Russell 2000 volatility (model-based, not live prices). Optional API key via headers or |
| forecast_gdpA | US GDP growth (annualized %) — Atlanta Fed nowcast and St. Louis Fed real GDP nowcast. Optional API key via headers or |
| forecast_inflationB | Inflation-related indicators (CPI, PPI, expectations, breakevens, etc.). Optional API key via headers or |
| forecast_ratesA | Fed funds, Treasuries, SOFR, CP, prime, and key yield spreads. Optional API key via headers or |
| forecast_laborA | US labor market: unemployment, participation, EPOP, manufacturing/finance payrolls. Optional API key via headers or |
| forecast_manufacturingB | Manufacturing: durable goods, new orders, industrial production. Optional API key via headers or |
| forecast_real_estateB | Housing: Case-Shiller, supply, permits, 30-year mortgage rate. Optional API key via headers or |
| forecast_retailC | Retail sales and University of Michigan consumer sentiment. Optional API key via headers or |
| stock_analysis_allA | Return MoneyChoice aggregate stock analysis for one ticker. When Abuse controls: configurable per-minute rate limit per client (session / IP / stdio); optional
Pro-only via |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| MoneyChoice Institutional Macro Forecasts | Structured metadata about the MoneyChoice forecasting framework, methodology transparency, coverage areas, accuracy record, and integration capabilities. |
TDQS
Scored across 11 tools
Every tool has a clearly distinct purpose targeting specific economic or financial domains: commodities, currency, equities, GDP, inflation, labor, manufacturing, rates, real estate, retail, and stock analysis. There is no overlap in functionality—each tool forecasts or analyzes a different market segment, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern with 'forecast_' prefix for 10 tools and 'stock_analysis_' for the 11th. The naming is uniform (snake_case throughout) and predictable, clearly indicating the action (forecast/analysis) and target domain, which enhances readability and usability.
With 11 tools, the server is well-scoped for its purpose of providing economic and financial forecasts and analysis. Each tool covers a distinct aspect of the domain (e.g., commodities, inflation, labor), and the count is neither too sparse nor overwhelming, allowing comprehensive coverage without redundancy.
The tool set offers broad coverage of key economic indicators and financial markets, with forecasts for commodities, currencies, equities, GDP, inflation, labor, manufacturing, rates, real estate, and retail, plus stock analysis. A minor gap is the lack of tools for historical data retrieval or updates to forecasts, but agents can still perform core analysis tasks effectively.