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kevynf

AKBridge MCP Server

by kevynf

get_ine_daily

Read-onlyIdempotent

Fetch daily price and volume data for Shanghai International Energy Exchange crude oil and TSR20 rubber futures by date, returning a pandas DataFrame or None for analysis.

Instructions

上海国际能源交易中心-日频率-量价数据 上海国际能源交易中心:原油期货(上市时间:20180326);20号胶期货(上市时间:20190812) trade_price: https://www.ine.cn/statements/daily/?paramid=kx trade_note: https://www.ine.cn/data/datanote.dat :param date: 日期 format: YYYY-MM-DD 或 YYYYMMDD 或 datetime.date对象,默认为当前交易日 :type date: str or datetime.date :return: 上海国际能源交易中心-日频率-量价数据 :rtype: pandas.DataFrame or None

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo20241129

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, openWorldHint and destructiveHint=false, so the safety profile is covered. The description adds that the default is the current trading day and that the return may be None (no data), which is useful beyond the annotations, but says nothing about non-trading days or field/unit details.

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?

Purpose is front-loaded, but the block is a docstring dump: the source URLs and the ':return:' line that merely restates the title add little for an agent, and the product listing dates are more context than needed to call the tool.

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 simple single-parameter read tool whose annotations cover safety, the description supplies param formats, default behavior, and return type, which is enough to invoke it correctly. Only the returned columns/units are unstated, and with no output schema that is a minor gap.

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?

Schema description coverage is 0%, so the description carries the load and does so well: it documents the accepted formats (YYYY-MM-DD, YYYYMMDD, datetime.date) and the default-to-current-trading-day behavior for the single date parameter.

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?

States the specific resource (INE daily volume-price data) and names the exchange and covered products with their listing dates, which cleanly separates it from sibling exchange dailies like get_shfe_daily/get_czce_daily. The retrieval verb is only implied by the name, so it stops just short of a 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?

No explicit when-to-use or when-not-to-use guidance and no reference to the many sibling exchange daily tools (get_gfex_daily, get_shfe_daily, get_futures_daily). Usage is only inferable from the exchange name and the data-source URLs.

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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