Skip to main content
Glama

Fintel Discovery — Financial Intelligence for AI Agents

Search FRED Economic Series

SearchFredSeries
Read-onlyIdempotent
    Search the Federal Reserve Bank of St. Louis FRED database for economic
    data series by keyword. Returns series ID, title, frequency, units,
    seasonal adjustment, and date range.

    Use this tool when:
    - You need to find the right FRED series ID before fetching data
    - You want to discover what macro data is available for a topic
    - You are looking for interest rates, inflation, GDP, unemployment, or
      money supply series to provide macro context for financial analysis

    Common series IDs (use GetFredSeriesData after finding one):
    - DGS10: 10-Year Treasury Yield
    - CPIAUCSL: Consumer Price Index (CPI-U)
    - UNRATE: Unemployment Rate
    - GDP: Gross Domestic Product
    - FEDFUNDS: Federal Funds Rate
    - M2SL: M2 Money Supply

    Requires FRED_API_KEY environment variable (free at fred.stlouisfed.org).
    Source: Federal Reserve Bank of St. Louis FRED API.
    

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"5f4db44b-e5cc-4f3a-8da3-ac591a019c81"New value: +"f258bd16-f060-4e4a-a55d-221a0484866d"
  2. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"d9f77642-e017-4785-9150-e658c2dba3a0"New value: +"5f4db44b-e5cc-4f3a-8da3-ac591a019c81"
  3. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"dbe99169-c071-4ed4-9ae9-8bbfb9a88ad8"New value: +"d9f77642-e017-4785-9150-e658c2dba3a0"
  4. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"3775b46a-5aa8-4586-af57-2453c8bcd08c"New value: +"dbe99169-c071-4ed4-9ae9-8bbfb9a88ad8"
  5. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"d81a5175-11e9-494a-baa5-71d4ffad4ab9"New value: +"3775b46a-5aa8-4586-af57-2453c8bcd08c"
  6. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"9e7f8798-7d22-4378-b93d-179c6f8cb854"New value: +"d81a5175-11e9-494a-baa5-71d4ffad4ab9"
  7. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"9919ff85-e960-472f-863b-3de4c5abed9f"New value: +"9e7f8798-7d22-4378-b93d-179c6f8cb854"
  8. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"38452924-d5df-4668-b51c-d7cd5acabc09"New value: +"9919ff85-e960-472f-863b-3de4c5abed9f"
  9. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"fa72f604-6239-428b-81df-11f07c2c8d00"New value: +"38452924-d5df-4668-b51c-d7cd5acabc09"
  10. Changed1 schema field changed
    • changedInput schema / $defs / FredSeriesSearchParams / properties / mcp_prompt_id / default
      Previous value: -"7b866f24-13ab-4e54-8d3a-f775612c393f"New value: +"fa72f604-6239-428b-81df-11f07c2c8d00"
  11. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already cover readOnlyHint and idempotentHint, so the safety profile is known. The description adds context about the data source (FRED), the exact return fields (series ID, title, frequency, units, seasonal adjustment, date range), and the API key requirement, providing value beyond annotations without contradiction.

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

Conciseness4/5

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

The description is well-structured with a clear opening sentence, bullet points for usage, and a list of common series IDs. It is somewhat verbose but each section adds value, and it front-loads the core purpose effectively.

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?

The tool has an output schema, and the description also lists the return fields. It covers the API key requirement, provides usage guidance, and gives examples. For a search tool with a rich schema, the description is sufficiently complete for an agent to call it correctly.

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 provides detailed descriptions for all parameters (limit, query, order_by, etc.), so the baseline is 3. The description adds example queries and common series IDs but does not significantly extend parameter semantics 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 clearly states the verb (Search) and resource (FRED database) and lists the return fields. It differentiates from the sibling GetFredSeriesData by framing its purpose as finding series IDs before fetching data, making it unambiguous.

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

Usage Guidelines5/5

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

The description explicitly lists when to use the tool (finding series IDs, discovering macro data) and points to the alternative GetFredSeriesData for fetching data after a series is found. It also gives concrete topic examples, leaving no ambiguity about use cases.

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.

Resources