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kevynf

AKBridge MCP Server

by kevynf

macro_euro_industrial_production_mom

Read-onlyIdempotent

Retrieve Eurozone industrial production month-over-month reports from Jin10 for 1991-03 onward, returning current values as a pandas Series for macro analysis.

Instructions

欧元区工业产出月率报告,数据区间从19910301-至今 https://datacenter.jin10.com/reportType/dc_eurozone_industrial_production_mom https://cdn.jin10.com/dc/reports/dc_eurozone_industrial_production_mom_all.js?v=1578577377 :return: 欧元区工业产出月率报告-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

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=true, so the safety profile is covered without the description. The description usefully adds the coverage window (data since 1991-03-01) and the source endpoints, but says nothing about update frequency, latency, or how the series is indexed — hence a middling score rather than a high one.

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 resource name and date range are front-loaded and the whole text is short, but the two raw CDN/JS URLs and the python-idiom ':return:/:rtype:' tags add clutter that an agent gains little from. It is not verbose, but not every element earns its place.

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?

With no output schema, the description compensates by stating the return payload ('今值(%)') and type (pandas.Series), and it discloses the temporal coverage. Annotations carry the safety profile. For a parameterless data-retrieval tool this is close to sufficient, with only update cadence and null/missing handling left unstated.

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 the schema carries no semantics to document and the baseline is 4. The description cannot add parameter meaning because there is none to add.

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 ('欧元区工业产出月率报告') and adds a concrete data range (19910301-至今), so an agent knows exactly what data this returns. It never states a verb (fetch/retrieve) and does not distinguish itself from near-neighbors like macro_euro_ppi_mom or macro_usa_industrial_production, so it falls short of 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 when-to-use guidance, no prerequisites, and no mention of alternative tools for related Euro-zone monthly indicators. The agent must infer usage purely from the resource 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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