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Rates Forecast

forecast_rates
Read-onlyIdempotent

Predict future interest rates and yield spreads for key financial indicators like Fed funds, Treasuries, and SOFR using MoneyChoice's quantum-inspired forecasting model.

Instructions

Fed funds, Treasuries, SOFR, CP, prime, and key yield spreads.

Optional API key via headers or ?api_key= selects Pro when valid.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
indicatorYes
timeframeNomonthly

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations cover read-only, idempotent, and non-destructive properties; the description adds valuable behavioral context about authentication mechanisms (header vs query param) and tier selection (Pro) that is not present in structured metadata. No destructive behavior is mentioned that would contradict annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

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

Extremely efficient two-sentence structure. First sentence front-loads the domain scope (specific rate types), second covers authentication. Zero redundant words or tautology despite brevity.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Adequate for a simple read-only forecasting tool with output schema present (no need to describe return values). However, gaps remain: missing explicit confirmation this returns future forecasts, no timeframe parameter explanation, and no rate-limit or pagination behavior disclosure given the API key mention suggests tiered access.

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 has 0% description coverage, requiring the description to compensate. It partially compensates by enumerating specific rate types that map to the indicator enum values, but completely omits the timeframe parameter (default monthly) and provides no syntax or formatting guidance beyond what the enums implicitly suggest.

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

Purpose3/5

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

Lists specific financial indicators (Fed funds, Treasuries, SOFR, etc.) which implicitly distinguishes from sibling tools like forecast_gdp or forecast_commodities. However, lacks an explicit action verb (forecast, retrieve, project) to clarify what operation is performed on these rates, forcing reliance on the tool name inference.

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

Usage Guidelines2/5

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

Provides operational guidance about optional API key authentication for Pro tier access, but offers zero guidance on when to select this tool versus siblings (forecast_currency, forecast_inflation, etc.) or prerequisite conditions for use.

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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