Skip to main content
Glama
kevynf

AKBridge MCP Server

by kevynf

option_finance_board

Read-onlyIdempotent

Fetch current trading day market data for Chinese ETF and index options by specifying the option symbol and expiration month.

Instructions

期权当前交易日的行情数据 主要为三个:华夏上证50ETF期权,华泰柏瑞沪深300ETF期权,嘉实沪深300ETF期权, 沪深300股指期权,中证1000股指期权,上证50股指期权,华夏科创50ETF期权,易方达科创50ETF期权 http://www.sse.com.cn/assortment/options/price/ http://www.szse.cn/market/product/option/index.html http://www.cffex.com.cn/hs300gzqq/ http://www.cffex.com.cn/zz1000gzqq/ :param symbol: choice of {"华夏上证50ETF期权", "华泰柏瑞沪深300ETF期权", "南方中证500ETF期权", "华夏科创50ETF期权", "易方达科创50ETF期权", "嘉实沪深300ETF期权", "沪深300股指期权", "中证1000股指期权", "上证50股指期权"} :type symbol: str :param end_month: 2003; 2020 年 3 月到期的期权 :type end_month: str :return: 当日行情 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo嘉实沪深300ETF期权
end_monthNo2306

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.1/5.0
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 safety is covered. The description adds genuinely useful context beyond that: this is a same-day snapshot (当前交易日), it aggregates four exchange sources, and it returns a pandas.DataFrame. It says nothing about rate limits, freshness guarantees, or whether non-trading days return empty results.

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 purpose is front-loaded and the product list earns its place, but the text is a raw docstring dump including four bare URLs, :type lines, and :rtype that duplicate structured information. It is functional rather than tight.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter, read-only data fetch with no output schema and annotations covering safety, the description supplies the return type, the same-day scope, and the source exchanges. The remaining gap is the ambiguous end_month semantics, which an agent needs in order to call the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must carry parameter meaning. It helps substantially on symbol by listing valid product values (the schema has no enum), which compensates for the missing enum. The end_month explanation ('2003; 2020 年 3 月到期的期权') is garbled and does not clearly establish the expected format, despite the schema default of '2306', leaving one of two parameters half-documented.

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 states a specific resource (current trading-day option quotes, 期权当前交易日的行情数据) and enumerates the covered products and exchanges (SSE, SZSE, CFFEX), so an agent knows exactly what it retrieves. It does not, however, differentiate itself from nearby siblings such as option_current_em, option_current_day_sse, or option_daily_stats_sse, and the '主要为三个' phrasing followed by eight products is internally muddled.

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 statement of when to use this tool, when not to, or which sibling covers a different case (e.g. historical vs. real-time, ETF vs. index options). The listing of products implies scope but leaves routing among the many option_* siblings entirely to inference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools