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kevynf

AKBridge MCP Server

by kevynf

fund_etf_category_sina

Read-onlyIdempotent

Fetch a list of Chinese closed-end, ETF, or LOF funds from Sina Finance. Specify the fund category to retrieve the corresponding fund data.

Instructions

新浪财经-基金列表 https://vip.stock.finance.sina.com.cn/fund_center/index.html#jjhqetf :param symbol: choice of {"封闭式基金", "ETF基金", "LOF基金"} :type symbol: str :return: 指定 symbol 的基金列表 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNoLOF基金
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, covering the safety profile. The description adds only the return type (pandas.DataFrame) and the enumerated symbol choices, but does not disclose additional behavioral aspects such as data freshness, pagination, or rate limits. No contradiction with 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 a compact docstring with title, URL, parameter, and return sections. It is not overly verbose, but the inclusion of a URL is unnecessary for an agent and adds minor noise. The structure is clean and front-loaded with the title.

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 optional parameter and no output schema, the description provides the essential information: it returns a pandas DataFrame with a fund list, and the parameter domain is fully enumerated. It lacks details on the DataFrame columns or any limitations, but for a basic list retrieval, the description is adequate.

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?

The schema provides no description for the 'symbol' parameter (coverage 0%), so the description carries the full burden. It explicitly lists the allowed values ('封闭式基金', 'ETF基金', 'LOF基金') and the type (str), which adds meaningful semantics beyond the bare schema default. The parameter's optionality is not stated in the description but is present in the schema default, and the choices are self-explanatory.

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-基金列表' (Sina Finance Fund List) and specifies that it returns a fund list for the given symbol, with choices of closed-end, ETF, or LOF funds. This not only identifies the specific verb (list) and resource (fund categories from Sina) but also distinguishes it from the sibling tool fund_etf_category_ths by naming Sina as the source.

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?

The description implies that it is used to retrieve fund lists by category but does not explicitly state when to prefer this over alternatives like fund_etf_spot_em or fund_etf_category_ths. There are no exclusions or alternative recommendations, leaving the agent to infer usage from the tool name and description.

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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