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get_series_updates

Read-onlyIdempotent

Retrieve a feed of recently updated FRED economic series, ordered by last-updated time, with optional filters for macro or regional series and a time window.

Instructions

List the FRED series updated most recently (a "what changed" feed, ordered by last-updated time), with pagination metadata. Optionally narrow to macro or regional series, or to a start_time/end_time update window (both required together, YYYY-MM-DDTHH:MM in FRED's timezone).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of series to return.
filterNoNarrow to a class of series: `all` (default), `macro`, or `regional`.
end_timeNoEnd of the update time window, same format. Must be given together with `start_time`.
start_timeNoStart of the update time window, `YYYY-MM-DDTHH:MM` in FRED's timezone (to the minute). Must be given together with `end_time`.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
countYesTotal number of matches across all pages.
limitYesPage-size limit that FRED applied.
offsetYesOffset of this page into the full result set.
seriesYesThe matching series on this page. FRED names the array `seriess` (sic) on the wire; we read that but emit the correctly-spelled `series` on output.
Behavior4/5

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

Annotations already indicate readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds behavioral details beyond annotations: ordering by last-updated time, the mutual requirement of start_time and end_time, and the datetime format hint. No contradictions.

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?

Two sentences with no wasted words. The main purpose is front-loaded, and all additional detail is directly relevant.

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

Completeness5/5

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

Given the tool's complexity (4 optional parameters, output schema present), the description fully covers purpose, filtering options, and time window constraints. No gaps.

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 description coverage is 100%, but the description adds value by explaining the filter enum values ('all', 'macro', 'regional') and the mutual requirement of start_time and end_time with format specificity.

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 uses a specific verb 'List' and a clear resource 'FRED series', distinguishes from siblings by focusing on 'updated most recently', and mentions 'pagination metadata' which sets it apart from other series tools.

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 explains when to use ('a 'what changed' feed'), and provides guidance on optional narrowing with filter and time window. It explicitly states that start_time and end_time must be given together, but does not mention alternatives or when not to use.

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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