Skip to main content
Glama

fred-treasury-macro-data-mcp

get_fred_series

Read-only

Fetch a FRED economic data series — CPI, GDP, unemployment, fed funds rate, anything in FRED.

Args: series_id: FRED series id (examples: "CPIAUCSL" = CPI, "GDP" = GDP, "UNRATE" = unemployment, "FEDFUNDS" = effective fed funds rate, "DGS10" = 10Y Treasury, "T10Y2Y" = 10y-2y spread, "M2SL" = M2 money supply, "PAYEMS" = nonfarm payrolls, "DFF" = daily fed funds) start_date: ISO date (YYYY-MM-DD). Defaults to default_lookback_days ago. end_date: ISO date (YYYY-MM-DD). Defaults to today.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNo
series_idYes
start_dateNo

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint. The description adds context: parameter defaults and examples. No contradictions. It could mention rate limits or error handling but is sufficient.

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 concise with a clear purpose, followed by an Args section that lists parameters succinctly. Every sentence adds value with no waste.

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?

For a simple data retrieval tool, the description covers parameter semantics and usage. It does not describe return format, but that is acceptable given no output schema. Slight gap in completeness but overall strong.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, but the description fully compensates by explaining series_id with 9 examples, start_date and end_date with formats and defaults. This adds critical meaning beyond the schema.

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 explicitly states 'Fetch a FRED economic data series' with a clear verb and specific resource, followed by concrete examples (CPI, GDP, etc.). It effectively distinguishes from sibling tools which are about auctions and treasury.

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

Usage Guidelines4/5

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

The description implies when to use (for any FRED series) through examples and defaults, but lacks explicit 'when-not-to-use' or alternatives. Given distinct siblings, it's clear, but not exhaustive.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A4.4/5.0
Disambiguation4/5

Most tools have distinct purposes: auction results vs upcoming auctions, yield curve vs dashboard snapshot. However, get_fred_series can retrieve Treasury yields and auction-related data, overlapping with the other specialized tools, causing minor ambiguity.

Naming Consistency5/5

All tool names follow a consistent 'get_' prefix with snake_case nouns describing the data (e.g., get_auction_results, get_treasury_yield_curve). No deviations or mixed conventions.

Tool Count5/5

Five tools is well-suited for this domain: two for auctions (past and future), one for yield curves, one for a macro dashboard, and one generic FRED series fetcher. The scope is focused and each tool serves a clear purpose.

Completeness5/5

The tool set covers core macro and Treasury data operations: historical auction results, upcoming auctions, yield curves, a combined dashboard, and the ability to fetch any FRED series. No obvious gaps exist for read-only data retrieval.

Resources