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search_series

Search economic data series from FRED by text query. Get matching series to find relevant data for analysis.

Instructions

Search for economic data series by text query.

Args: query: The search text (e.g., "gdp", "unemployment"). limit: Maximum number of results to return in preview (default: 10). offset: Number of results to skip (default: 0). file_path: Optional absolute path to save the full search results as JSON.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
queryYes
offsetNo
file_pathNo
Install Server

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the full burden. It does disclose the preview-versus-full-results behavior via the limit and file_path parameters, but it does not describe the response format, pagination behavior, or any access requirements.

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 purpose sentence is front-loaded and the Args block is compact. The parameter documentation is essential given the schema's lack of descriptions, so the length is justified.

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

Completeness3/5

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

Basic invocation is complete: required query, default limit and offset, optional file_path, and the preview/full-result distinction are all clear. However, the response structure is not described, and there is no guidance on how this relates to sibling tools or what an agent should do after receiving results.

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 description coverage is 0%, and the description fully compensates by explaining all four parameters: query text, limit as preview maximum, offset as skip count, and file_path as an optional full-result JSON save location. This adds substantial meaning beyond the bare schema types and defaults.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a clear verb and resource: "Search for economic data series by text query." It distinguishes the tool from data-retrieval siblings like get_series_data, though it does not explicitly differentiate itself from search_related_tags.

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

Usage Guidelines2/5

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

No guidance is given about when to use this tool versus the other search-related or retrieval tools. It does not mention prerequisites, exclusions, or when a sibling would be more appropriate.

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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