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kevynf

AKBridge MCP Server

by kevynf

macro_usa_non_farm

Read-onlyIdempotent

Fetch US non-farm payrolls data from 1970 to present as a pandas Series for employment and economic analysis.

Instructions

美国非农就业人数报告,数据区间从19700102-至今 https://datacenter.jin10.com/reportType/dc_nonfarm_payrolls :return: 美国非农就业人数报告 :rtype: pandas.Series

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context not in the annotations: the data coverage window (1970-present), the source URL, and the return type (pandas.Series). It does not describe record granularity or format details, so a 3 is appropriate.

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 description is short and front-loads the dataset name and coverage window. The ':return:' line slightly repeats the title, but the URL and ':rtype:' line add real information, so waste is minimal.

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 parameterless, annotation-rich data-retrieval tool with no output schema, the description supplies the key missing facts: source location, historical coverage, and return type. Nothing essential for correctly invoking the tool appears absent.

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?

The tool takes zero parameters, so there is nothing to clarify; the baseline for a parameterless tool is 4. No schema semantics are missing or misleading.

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 names a specific dataset (US Non-Farm Payrolls report) and gives the full date coverage (1970-01-02 to present), so an agent can identify exactly what series is returned. It does not explicitly distinguish itself from adjacent siblings such as macro_usa_adp_employment or macro_usa_unemployment_rate, which is the only reason it falls short of a 5.

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 indication of when to choose this tool over related macro_usa_* siblings, nor any prerequisites or exclusions. The name and URL imply usage, but no guidance is stated in the description itself.

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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