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kevynf

AKBridge MCP Server

by kevynf

get_czce_daily

Read-onlyIdempotent

Retrieves daily volume and price data from the Zhengzhou Commodity Exchange (CZCE) for a specified date or the current trading day.

Instructions

郑州商品交易所-日频率-量价数据 http://www.czce.com.cn/cn/jysj/mrhq/H770301index_1.htm :param date: 日期 format:YYYY-MM-DD 或 YYYYMMDD 或 datetime.date 对象,默认为当前交易日; 日期需要大于 20100824 :type date: str or datetime.date :return: 郑州商品交易所-日频率-量价数据 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo20050525
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 covered. The description adds the date lower bound (must be > 20100824), default behavior (current trading day), and return type (pandas.DataFrame), but does not disclose other behavioral aspects like error handling or rate limits. This is moderate value beyond annotations.

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 description is concise and includes essential elements: a title, source URL, parameter documentation, and return type. It is slightly redundant (the title is repeated in the return line) but overall well-structured and not excessively long.

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 tool with one parameter and no output schema, the description provides the necessary context: data source, parameter constraints, default behavior, and return type. It lacks details about the DataFrame columns or specific error behaviors, but these are not critical given the low complexity and the availability of a source URL.

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 full burden for parameter documentation. It provides detailed semantics for 'date': accepted formats (YYYY-MM-DD, YYYYMMDD, datetime.date), default value, and a minimum date constraint. This is highly informative, but the schema default '20050525' conflicts with the description's 'defaults to current trading day', which introduces confusion.

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?

The description clearly states the resource (Zhengzhou Commodity Exchange) and the data type (daily volume and price data). The tool name 'get_czce_daily' adds the verb, and the description distinguishes it from sibling exchange-specific daily tools like get_dce_daily and get_shfe_daily.

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?

Usage is implied by the title and description: use this tool for CZCE daily volume/price data. However, there is no explicit guidance on when to choose this over other futures-related tools (e.g., get_dce_daily, futures_settle_czce), nor any mention of alternatives.

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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