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kevynf

AKBridge MCP Server

by kevynf

macro_euro_zew_economic_sentiment

Read-onlyIdempotent

Retrieve current and historical Eurozone ZEW economic sentiment index values from 2008 onward to gauge investor sentiment and economic expectations.

Instructions

欧元区ZEW经济景气指数报告,数据区间从20080212-至今 https://datacenter.jin10.com/reportType/dc_eurozone_zew_economic_sentiment https://cdn.jin10.com/dc/reports/dc_eurozone_zew_economic_sentiment_all.js?v=1578577013 :return: 欧元区ZEW经济景气指数报告-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

A3.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint, and destructiveHint=false. The description adds useful non-safety context: the start date of the data (20080212), the source URLs, and the return type (pandas.Series of the current value). It does not contradict any annotation.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The key report name and date range are front-loaded, but the description then embeds two raw URLs, including a cache-busted JavaScript asset URL, and Sphinx-style :return:/:rtype: markers. Some of this is source context, but it is not tightly structured for an agent.

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 macro-data retrieval tool with no output schema, the description is largely complete: it states the report, historical coverage, source, and returned value type. It omits update frequency and units, but those are relatively minor for selecting and calling the tool.

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 input parameters, so there are no parameter semantics to explain. The baseline for a no-parameter tool is 4; the description correctly does not invent parameter guidance.

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 resource, 欧元区ZEW经济景气指数报告 (Eurozone ZEW Economic Sentiment report), and states the data range from 2008-02-12 onward. It implicitly distinguishes itself from the Germany-specific sibling macro_germany_zew by keeping the Eurozone scope, though it does not explicitly name that alternative.

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?

The description gives no when-to-use guidance, no conditions for selecting this tool over the many other macro tools, and no exclusions. Usage is only implied by the report name.

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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