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Inflation Forecast

forecast_inflation
Read-onlyIdempotent

Predict inflation trends using CPI, PPI, breakeven rates, and expectation indicators to inform financial decisions and economic analysis.

Instructions

Inflation-related indicators (CPI, PPI, expectations, breakevens, etc.).

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
Behavior3/5

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

Annotations declare readOnly/idempotent/destructive hints, so the safety profile is covered. The description adds valuable authentication context: that an optional API key can be passed via headers or query parameter and enables Pro tier access. However, it omits rate limits, data freshness, or whether results include historical data, forecasts, or both.

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

Conciseness2/5

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

The first sentence is a sentence fragment ('Inflation-related indicators...') lacking a verb, which fails to front-load the tool's purpose. While brief, the structure is weak. The second sentence about API authentication is clear but misplaced as the sole actionable sentence.

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

Completeness2/5

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

Given the presence of an output schema, the description correctly omits return value details. However, for a forecasting tool with zero schema coverage, the description is insufficient—it doesn't clarify if it returns historical data, future projections, or both, and leaves one of two parameters effectively undocumented.

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?

With 0% schema description coverage, the description partially compensates by listing indicator examples (CPI, PPI, breakevens) that map to the enum values. However, the timeframe parameter is completely undocumented, and the indicator list ends with 'etc.' leaving some enum values unexplained. The API key mention describes external auth, not schema parameters.

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?

The description identifies the domain (inflation-related indicators) and lists examples aligning with the enum values, but lacks a specific action verb (retrieve, forecast, get). It does not differentiate from sibling forecast tools (forecast_gdp, forecast_rates, etc.) which share similar naming patterns.

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

Usage Guidelines1/5

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

No guidance provided on when to select this tool versus the nine sibling forecast tools (e.g., forecast_rates covers breakevens, forecast_labor covers wage inflation). The API key mention describes authentication mechanics, not usage criteria.

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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