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Get Economic Indicator

finance.macro.indicator
Read-onlyIdempotent

Retrieve US economic indicators from 816,000+ FRED series, including GDP, CPI, unemployment, and interest rates.

Instructions

Get US economic data from 816K+ FRED series — GDP, CPI, unemployment, interest rates, money supply (Federal Reserve)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
series_idYesFRED series ID (e.g. "GDP", "CPIAUCSL", "UNRATE", "DFF", "T10Y2Y"). Browse at fred.stlouisfed.org.
observation_startNoStart date for observations in YYYY-MM-DD format.
observation_endNoEnd date for observations in YYYY-MM-DD format.
limitNoMaximum number of observations to return (default 100000).
sort_orderNoSort order by observation date. Default "asc".

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the agent knows this is a safe read operation. The description adds context about the data source size and examples, going beyond annotations without contradicting them.

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?

The description is a single, well-structured sentence that front-loads the core action and key details. Every word is informative, with no redundancy.

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, the description need not detail return values. It sufficiently covers the tool's scope (US economic data from FRED) and provides enough context for an agent to understand its purpose. Could mention time-series nature but not critical.

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?

The input schema has 100% coverage with descriptions for all parameters. The tool description includes examples of series IDs, which adds marginal value beyond the schema's own descriptions. No additional parameter-specific guidance is provided.

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?

The description clearly states the action ('Get US economic data'), specifies the source ('816K+ FRED series'), and lists concrete examples like GDP, CPI, unemployment. This distinguishes it from other finance tools by focusing on US macro indicators.

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?

The description provides examples of when to use the tool (e.g., for GDP, CPI data) but does not explicitly state when not to use it or mention alternative tools. The context is implied but not explicit.

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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