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floriancaro

fred-mcp-server

by floriancaro

fred_series_updates

Retrieve recently updated FRED economic series. Filter by real-time period, category, or update time for targeted data.

Instructions

Get recently updated FRED series.

Args: realtime_start: Start of real-time period (YYYY-MM-DD). realtime_end: End of real-time period (YYYY-MM-DD). limit: Max number of results. offset: Pagination offset. filter_value: "macro" for macroeconomic series, "regional" for regional, "all" for both. start_time: Filter to series updated on or after this time (YYYYMMDDHhmm format). end_time: Filter to series updated on or before this time (YYYYMMDDHhmm format).

Returns: dict with key 'seriess' containing recently updated series.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
realtime_startNo
realtime_endNo
limitNo
offsetNo
filter_valueNo
start_timeNo
end_timeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations are provided, so the description carries full burden. It describes parameters and return type ('dict with key 'seriess'') but does not disclose potential side effects, rate limits, or error conditions. The read-only nature is implied but not confirmed.

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, well-structured with clear sections for Args and Returns. Every sentence adds value without redundancy.

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?

Given the 7 parameters and lack of annotations, the description covers all parameters and return type. However, it could elaborate on pagination behavior (limit/offset) and default values, though defaults are null in schema.

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 must compensate, which it does thoroughly. Each parameter is explained with format details (e.g., YYYY-MM-DD, YYYYMMDDHhmm) and allowed values (e.g., 'macro', 'regional', 'all'), adding 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 clearly states 'Get recently updated FRED series,' which is a specific verb-resource combination. Among siblings like fred_series (get a specific series) and fred_series_search (search by criteria), this tool is uniquely about recently updated series.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives or provide exclusions. It implies usage for recent series updates but lacks guidance on when not to use it.

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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