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kevynf

AKBridge MCP Server

by kevynf

futures_gfex_position_rank

Read-onlyIdempotent

Fetch Guangzhou Futures Exchange daily trading and open interest rankings by date and commodity code list. Returns structured data for market analysis.

Instructions

广州期货交易所-日成交持仓排名 http://www.gfex.com.cn/gfex/rcjccpm/hqsj_tjsj.shtml :param date: 开始日期;广州期货交易所的日成交持仓排名从 20231110 开始 :type date: str :param vars_list: 商品代码列表 :type vars_list: list :return: 日成交持仓排名 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo20231113
vars_listNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is covered. The description adds one genuinely useful behavioral fact beyond them: the data series starts on 20231110. It says nothing about refresh cadence, pagination, or data coverage limits.

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 content is compact and front-loads the resource name, with a source URL and Sphinx-style tags that are informative rather than padded. Minor redundancy between the title line and the ':return'/'rtype' tags.

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 read-only data-retrieval tool with annotations covering the safety profile and no output schema, the description mentions the return type (pandas.DataFrame) and the date-range constraint, which is adequate at a minimum. The vars_list format and the relationship to sibling rank tools are the notable gaps.

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 the burden; it partially does, explaining that 'date' is a start date and that data begins 20231110, and that 'vars_list' is a commodity-code list. However it never specifies the accepted code format or examples for vars_list, leaving half the parameter semantics unclear.

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 — GFEX (Guangzhou Futures Exchange) daily trading/position rankings — via the title line and the ':return' tag. It does not, however, distinguish itself from close siblings like futures_dce_position_rank or get_rank_table_czce, so an agent must infer which exchange's rank table this is.

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 explicit statement of when to use this tool versus the many sibling rank-table tools, nor any prerequisite/exclusion guidance. Usage is only implied by the exchange name in the title.

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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