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kevynf

AKBridge MCP Server

by kevynf

macro_euro_employment_change_qoq

Read-onlyIdempotent

Retrieve Eurozone seasonally adjusted employment change quarter-on-quarter data to track labor market trends.

Instructions

欧元区季调后就业人数季率报告,数据区间从20083017-至今 https://datacenter.jin10.com/reportType/dc_eurozone_employment_change_qoq https://cdn.jin10.com/dc/reports/dc_eurozone_employment_change_qoq_all.js?v=1578578699 :return: 欧元区季调后就业人数季率报告-今值(%) :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, openWorldHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the data interval and return field/type, but does not explain update frequency, authentication needs, rate limits, or pagination behavior.

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 report purpose and date range are front-loaded, and the return details are compact. The two raw URLs and docstring-style :return/:rtype lines are somewhat untidy but do not make the description excessively long.

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 no-parameter historical report, the description states the subject, date coverage, and return type/value field. With annotations covering safety and no output schema present, this is nearly complete, though it omits update cadence and exact output-column semantics beyond 今值(%).

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 has zero parameters, so the baseline is 4. The description does not need to document parameter meaning, though it does supply return-value context instead.

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?

Names a specific report, the eurozone seasonally adjusted employment change QoQ series, and states its data coverage. It is clear enough to distinguish from other macro_euro siblings by resource, but it does not explicitly contrast itself with alternatives.

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?

Provides no when-to-use guidance, prerequisites, or alternatives. The only contextual hint is the stated date range from 20083017 to present, which does not help an agent choose this tool over related macro indicators.

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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