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hgus107

us-macro-mcp

by hgus107

get_history

Retrieve historical time series data for a US macroeconomic indicator from the FRED database, with optional date range and limit.

Instructions

Get the historical time series for one indicator.

Args: name: Friendly indicator name, for example "cpi" or "sp500". start: Optional first date as YYYY-MM-DD. Defaults to about two years ago. end: Optional last date as YYYY-MM-DD. Defaults to today. limit: Maximum number of data points to return, most recent kept. Defaults to 500.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endNo
nameYes
limitNo
startNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries burden. Discloses parameter defaults and 'most recent kept' for limit. Lacks details on error handling (invalid name, date range) and rate limits. Adequate but not exhaustive.

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?

Description is structured with an Args section, concise without redundant words. Could be slightly more concise but is well-organized and front-loaded with purpose.

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 no annotations and presence of output schema, description sufficiently explains input parameters and their behavior (defaults, format). Lacks output description but output schema is available. Adequately complete for basic usage.

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 description must add meaning. It does so comprehensively: explains 'name' as friendly indicator name, date formats as YYYY-MM-DD, limit behavior, and defaults. Adds significant value beyond 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?

Description clearly states 'Get the historical time series for one indicator' with a specific verb and resource. Distinguishes from siblings like list_indicators (listing) and compare_indicators (comparison).

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?

Explicitly describes when to use the tool for time series data. Does not provide explicit when-not-to-use or alternative tool references, but the sibling context aids inference.

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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