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kevynf

AKBridge MCP Server

by kevynf

option_hist_dce

Read-onlyIdempotent

Retrieves daily option market data from the Dalian Commodity Exchange (DCE) for specified symbols and trading dates, delivering historical records as structured data for analysis.

Instructions

大连商品交易所-期权-日频行情数据 http://www.dce.com.cn/ :param trade_date: 交易日 :type trade_date: str :param symbol: choice of {"玉米期权", "豆粕期权", "铁矿石期权", "液化石油气期权", "聚乙烯期权", "聚氯乙烯期权", "聚丙烯期权", "棕榈油期权", "黄大豆1号期权", "黄大豆2号期权", "豆油期权", "乙二醇期权", "苯乙烯期权", "鸡蛋期权", "玉米淀粉期权", "生猪期权", "原木期权"} :type symbol: str :return: 日频行情数据 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo聚丙烯期权
trade_dateNo20251016
Behavior3/5

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

Annotations already declare the tool safe (readOnly, idempotent). The description adds the return type (pandas.DataFrame) and the source URL, but doesn't disclose date format expectations, data coverage limits, or any other behavioral nuances beyond what annotations cover.

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 well-structured with docstring tags and a clear layout. The symbol list is lengthy but necessary. The URL adds useful context without excessive fluff, though it could be omitted given the title already conveys the source.

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 simple two-parameter read-only retrieval, the description is mostly complete: it identifies the data source, returns a DataFrame, and lists valid symbols. It lacks a date format note, any warning about data availability, and explicit guidance on when to use this versus similar exchange-specific tools.

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?

With schema_description_coverage at 0%, the description carries the full burden for parameters. It lists all valid symbols, specifies types, and names each parameter's meaning. However, it does not specify the trade_date format (e.g., YYYYMMDD), relying on the schema default as an implicit example.

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 clearly states this provides daily-frequency option market data for the Dalian Commodity Exchange, distinguishing it from sibling tools for other exchanges. Though it's phrased as a label rather than a verb phrase, the return type and parameters make the purpose unambiguous.

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?

No guidance is given on when to use this tool versus alternatives. Sibling tools for other exchanges (e.g., option_hist_czce, option_hist_shfe) are not mentioned, and no exclusions or preferred contexts are provided.

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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