Skip to main content
Glama
kevynf

AKBridge MCP Server

by kevynf

option_cffex_hs300_spot_sina

Read-onlyIdempotent

Fetch real-time call/put option quotes for a specified HS300 index contract on CFE via Sina Finance.

Instructions

中金所-沪深 300 指数-指定合约-实时行情 https://stock.finance.sina.com.cn/futures/view/optionsCffexDP.php :param symbol: 合约代码; 用 option_cffex_hs300_list_sina 函数查看 :type symbol: str :return: 中金所-沪深300指数-指定合约-看涨看跌实时行情 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoio2204
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, which covers safety traits. The description adds useful context beyond annotations, such as the data source URL and the specific return type (pandas.DataFrame) containing call/put real-time quotes. No contradiction; it is a read-only data fetch.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description follows a clean docstring structure with title, source URL, :param, :type, :return, and :rtype sections. Every line adds value, there is no redundancy, and the purpose is front-loaded. It is extremely compact yet informative.

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?

There is no output schema, so the description must convey return structure. It states the return is a pandas.DataFrame of call/put real-time quotes, but it does not list expected columns or clarify the default symbol behavior. For a simple real-time quote tool with a cross-reference for symbol discovery, this is adequate but leaves room for improvement.

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 has zero description coverage for the 'symbol' parameter, so the description must compensate. It does define symbol as '合约代码' (contract code) and points to option_cffex_hs300_list_sina for finding valid values, which adds meaning. However, it does not explain the symbol format or provide examples beyond the default, so compensation is partial.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

Description clearly states it provides real-time quotes ('实时行情') for specified contracts of CFFEX HS300 index options, and the return type mentions call/put quotes. It distinguishes itself from sibling tools like option_cffex_hs300_list_sina and option_cffex_hs300_daily_sina by emphasizing '指定合约' and '实时行情'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implicitly indicates when to use the tool (for real-time quotes of a specific contract) and explicitly directs users to option_cffex_hs300_list_sina to obtain valid symbol values. However, it does not explicitly discuss alternatives (e.g., daily data) or when not to use this tool, so usage guidance is mostly implied.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kevynf/akbridge'

If you have feedback or need assistance with the MCP directory API, please join our Discord server