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kevynf

AKBridge MCP Server

by kevynf

futures_settle_gfex

Read-onlyIdempotent

Retrieves Guangzhou Futures Exchange settlement parameters for a specified date and returns them as a pandas DataFrame for futures market analysis.

Instructions

广州期货交易所-结算参数 http://www.gfex.com.cn/gfex/rjycs/ywcs.shtml :param date: 结算参数日期 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: 结算参数数据 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo20260119

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered structurally. The description adds genuine context beyond that — the upstream source URL, the accepted date formats, and the pandas.DataFrame return type. It does not, however, note the discrepancy between its stated default ('current trading day') and the schema default '20260119', nor describe the returned columns.

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 purpose is front-loaded in the first line, and the body is short. Minor waste from Sphinx docstring scaffolding (:type, :return, :rtype) and a raw URL, but nothing verbose or padding.

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 single-optional-parameter, read-only fetch with rich annotations and no output schema, the description is nearly sufficient: purpose, parameter format, default, and return type are all present. The remaining gap is sibling differentiation, which matters here given the dense futures_settle_* family.

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 coverage is 0% — the single 'date' parameter is a bare string with no description — so the description carries the full burden. It compensates well by enumerating accepted formats (YYYY-MM-DD, YYYYMMDD, datetime.date object) and stating the default. This is meaningful semantics that the schema alone does not provide, though it leaves the apparent default mismatch with the schema unexplained.

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 — Guangzhou Futures Exchange settlement parameters (结算参数) — so an agent knows exactly what data it returns, and the source URL reinforces it. However, it never differentiates itself from the numerous sibling settle tools (futures_settle, futures_settle_shfe, futures_settle_czce, futures_settle_ine, futures_settlement_price_sgx); the exchange is implied only by the tool name and the Chinese title, not by an explicit disambiguation statement.

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 when-to-use guidance and no mention of alternative tools. The description only lists the parameter format and default trading day, which is not usage guidance. An agent must infer from the name alone that this is the GFEX-specific variant of the settle family.

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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