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kevynf

AKBridge MCP Server

by kevynf

fund_scale_structured_sina

Read-onlyIdempotent

Retrieve structured fund scale data for graded sub-funds from Sina Finance. Returns a pandas DataFrame for easy analysis and integration.

Instructions

新浪财经-基金数据中心-基金规模-分级子基金 https://vip.stock.finance.sina.com.cn/fund_center/index.html#jjgmfjall :return: 基金规模 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds only the return type and source URL but no behavioral nuances such as data scope, freshness, or required authentication. It does not contradict the annotations, but it offers no additional behavioral context beyond what the annotations supply.

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 appropriately brief: one title line, a URL, and two return tags. It is front-loaded and each line serves a purpose. The URL is somewhat long but adds source specificity. It avoids unnecessary verbosity, making it a concise representation for a parameterless tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of explaining the return value. It only states '基金规模' and 'pandas.DataFrame', leaving the structure and content of the DataFrame undefined (e.g., fund codes, names, scale amounts, or time range). For a zero-parameter tool, this lack of detail limits the agent's ability to interpret and use the returned data effectively.

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 tool has zero parameters, and the input schema is empty, giving a schema description coverage of 100%. With no parameters to document, the description needs no parameter details, and the baseline for 0 params is 4. The description does not mislead or introduce any parameter-related confusion.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description provides a Chinese title '新浪财经-基金数据中心-基金规模-分级子基金' and a URL, indicating it retrieves fund-scale data for graded sub-funds from Sina Finance. It does not include an explicit action verb like 'get' or 'retrieve', making the purpose clear but not strongly purposeful. It does distinguish from sibling tools such as fund_scale_close_sina and fund_scale_open_sina by specifying '分级子基金'.

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. The description does not mention any exclusions, prerequisites, or alternative tools, even though siblings like fund_scale_close_sina and fund_scale_open_sina exist. The URL merely points to the data source but provides no contextual usage instructions.

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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