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ykshah1309

Financial Hub MCP Server

by ykshah1309

Get Economic Data

get_economic_data
Read-onlyIdempotent

Retrieve FRED economic time series data for indicators like GDP, CPI, and unemployment. Get recent observations with dates and values.

Instructions

Get time series observations for a FRED economic data series. Returns recent data points with dates and values. Common series: GDP (Gross Domestic Product), CPIAUCSL (CPI), UNRATE (Unemployment Rate), FEDFUNDS (Fed Funds Rate), DGS10 (10-Year Treasury), SP500 (S&P 500), MORTGAGE30US (30-Year Mortgage Rate).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endDateNoEnd date in YYYY-MM-DD format
seriesIdYesFRED series ID (e.g. GDP, UNRATE, CPIAUCSL)
startDateNoStart date in YYYY-MM-DD format
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds context by stating that it returns 'recent data points with dates and values,' offering a behavioral trait (response shape) not covered by annotations. No contradiction with 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?

Three concise sentences: the first states purpose, the second describes return content, and the third provides valuable examples. Every sentence earns its place with no redundancy or filler.

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?

Given full schema coverage, strong annotations, and no output schema, the description provides enough context by mentioning date/value pairs and common series. It does not define 'recent' when startDate/endDate are omitted, but the overall tool is straightforward and the description is adequate for a data retrieval tool.

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% since every parameter has a description. The description enhances this by listing common series IDs (GDP, CPIAUCSL, UNRATE, etc.) and their meanings, which helps the agent select appropriate values for seriesId.

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 specifies 'Get time series observations for a FRED economic data series,' which clearly names the verb and resource. It distinguishes itself from siblings like get_stock_quote and search_economic_data by focusing on FRED series and listing specific examples.

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 implies usage when a FRED series ID is needed and even provides common series IDs, but it does not explicitly state when to use this tool versus search_economic_data or other alternatives. There is no explicit when-not guidance, so it remains implied rather than direct.

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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