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kevynf

AKBridge MCP Server

by kevynf

macro_euro_sentix_investor_confidence

Read-onlyIdempotent

Retrieve Eurozone Sentix investor confidence index values from 2002 to present for macro sentiment tracking and analysis.

Instructions

欧元区Sentix投资者信心指数报告,数据区间从20020801-至今 https://datacenter.jin10.com/reportType/dc_eurozone_sentix_investor_confidence https://cdn.jin10.com/dc/reports/dc_eurozone_sentix_investor_confidence_all.js?v=1578577195 :return: 欧元区Sentix投资者信心指数报告-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

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the safety profile is covered. The description adds the historical start date and names the upstream data source (jin10 datacenter), which is genuinely useful, but says nothing about update frequency, latency, or how fresh the 'present' value is.

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 core statement is front-loaded and short, but two raw URLs and a cache-busting query string are pasted in without explaining their role, which is noise for an agent selecting a tool. The :return:/:rtype: docstring lines are useful but Sphinx-specific formatting.

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 naming the return field (今值) and return type (pandas.Series), plus the coverage window. For a zero-argument single-series macro fetcher this is close to sufficient; only update cadence is missing.

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 disambiguate; baseline 4 applies. No misleading parameter hints are present.

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 — the Eurozone Sentix investor confidence index report — and states its temporal scope (2002-08-01 to present), which distinguishes it from sibling sentiment series such as macro_euro_zew_economic_sentiment. It lacks an explicit verb (retrieve/fetch) and reads more like a data catalog entry, but the resource is unambiguous.

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?

No guidance on when to use this versus the many other macro_euro_* and sentiment tools, no prerequisites, no exclusions. The only contextual cue is the coverage window, which is not usage guidance.

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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