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get_series_data

Retrieve data points for a specific FRED economic series by providing its series ID. Use limit and offset for pagination, or save the full dataset to a JSON file.

Instructions

Get data points for a specific series.

Args: series_id: The ID of the series (e.g., "GDP"). limit: Max data points to return in the markdown preview (default: 1000). offset: Data points to skip (default: 0). file_path: Optional absolute path to save the full data as JSON. If provided, the full dataset (ignoring limit/offset) is saved and response is minimized.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
offsetNo
file_pathNo
series_idYes
Install Server

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the burden of behavior disclosure. It adds valuable context: limit/offset apply only to the markdown preview, and providing file_path saves the full dataset while minimizing the response. This goes well beyond the schema, even if return format and error behavior are not fully specified.

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 front-loaded with a one-sentence purpose followed by a compact Args list. Every line adds necessary information, and there is no redundant or promotional language.

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 tool with no output schema and no annotations, the description covers the main invocation concerns: series identification, pagination-like parameters, preview behavior, and optional file output. It does not spell out the exact return shape or error handling, but it is sufficient for an agent to select and call the tool correctly.

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%, so the description is essential, and it delivers. Every parameter is explained with defaults and meaningful nuances: limit/offset affect only the preview, and file_path triggers full-dataset saving with a minimized response. This fully compensates for the sparse schema.

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 clearly states the verb and resource: 'Get data points for a specific series.' It conveys the core purpose and implicitly distinguishes it from sibling tools like get_series_info or search_series, though it does not explicitly contrast them.

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?

There is no guidance on when to use this tool versus sibling tools, nor any exclusions or alternatives. The phrase 'for a specific series' hints at scope, but an agent is left to infer when get_series_data is preferable to get_series_info or other series-related tools.

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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