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kevynf

AKBridge MCP Server

by kevynf

macro_euro_services_pmi

Read-onlyIdempotent

Fetch Eurozone services PMI final readings from 2008-02-22 to today as a pandas Series for economic analysis.

Instructions

欧元区服务业PMI终值报告,数据区间从 20080222-至今 https://datacenter.jin10.com/reportType/dc_eurozone_services_pmi https://cdn.jin10.com/dc/reports/dc_eurozone_services_pmi_all.js?v=1578577639 :return: 欧元区服务业PMI终值报告-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

A3.6/5.0
Behavior4/5

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

Annotations already establish that this is a read-only, idempotent, open-world data lookup with no destructive behavior. The description adds useful context by stating the historical range and the return value/rtype, though it does not cover update frequency or any source caveats.

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 front-loaded with the report name and coverage period, then the source URLs and Sphinx return fields. The two raw URLs are somewhat extraneous for invocation, but the overall text is compact and does not pad the 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?

For a zero-parameter macro data endpoint with annotations covering safety, the description supplies the dataset name, coverage range, source, and return type. It is complete enough to invoke correctly, though it could add update frequency or clarify the exact output columns beyond the current value.

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 are no parameter semantics to document; this meets the baseline of 4 for a no-parameter tool. The description appropriately avoids inventing inputs and instead clarifies the dataset itself.

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 the exact dataset (Eurozone services PMI final report) and its coverage range, making it clearly distinguishable from siblings like macro_euro_manufacturing_pmi and macro_usa_services_pmi. It is specific about the resource and scope, though it does not use an explicit retrieval verb.

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 explicit when-to-use guidance and does not mention alternatives or exclusions. It implies this tool retrieves Eurozone services PMI data, but an agent must infer selection from the tool name alone.

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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