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kevynf

AKBridge MCP Server

by kevynf

option_cffex_hs300_daily_sina

Read-onlyIdempotent

Fetches daily historical quotes for CFFEX HS300 index options from Sina Finance based on a contract symbol like io2202P4350, returning a pandas DataFrame.

Instructions

新浪财经-中金所-沪深300指数-指定合约-日频行情 :param symbol: 具体合约代码(包括看涨和看跌标识), 可以通过 ak.option_cffex_hs300_spot_sina 中的 call-标识 获取 :type symbol: str :return: 日频率数据 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoio2202P4350
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, covering the safety profile. The description adds that it returns daily-frequency data as a pandas.DataFrame, which is useful context, but it does not describe DataFrame columns, potential errors, pagination, or data source limitations. Given the annotation coverage, this is adequate but not rich.

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 a compact docstring with a clear title line followed by parameter and return documentation. It is structured and does not contain filler, though the docstring formatting with :param/:return lines is slightly more than necessary for a single-parameter tool.

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?

Without an output schema, the description should clarify what data is returned. It only states '日频率数据' (daily-frequency data) and DataFrame, leaving the columns and scope (e.g., date range) unspecified. It adequately covers the purpose and parameter, but the return contents are vague, which is a notable gap for a data retrieval tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only a type and default for symbol with no description, so the description must compensate. It does so effectively by explaining that symbol includes call/put identifiers and can be obtained from option_cffex_hs300_spot_sina, giving the agent actionable guidance for filling the parameter correctly.

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 '新浪财经-中金所-沪深300指数-指定合约-日频行情' (Sina Finance-CFFEX-CSI 300-specified contract-daily quotes), identifying the specific resource, action (fetch quotes), and frequency. This distinguishes it from siblings like option_cffex_hs300_spot_sina (spot) and option_cffex_sz50_daily_sina (different underlying index).

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

Usage Guidelines4/5

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

The description gives context by explaining the symbol is a specific contract code and directs users to ak.option_cffex_hs300_spot_sina to obtain valid symbols. It clearly implies this tool is for daily-frequency data for HS300 contracts, but it does not explicitly state when-not-to-use or name alternative tools for other frequencies/indices.

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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