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kevynf

AKBridge MCP Server

by kevynf

option_finance_minute_sina

Read-onlyIdempotent

Fetch minute-frequency data for a given option symbol, enabling analysis of intraday price movements and trading volume.

Instructions

指定期权的分钟频率数据 https://stock.finance.sina.com.cn/option/quotes.html :param symbol: 期权代码 :type symbol: str :return: 指定期权的分钟频率数据 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo10002530
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 the data source URL and the pandas.DataFrame return type, but does not disclose additional behaviors such as data delay, rate limits, or handling of invalid symbols. 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 compact, with a purpose statement, URL, and docstring. It is front-loaded and easy to scan, though the purpose is restated in the rtype, adding minor redundancy. Overall, it is efficient and well-structured.

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 one-parameter, read-only tool with annotations and no output schema, the description covers the core function, parameter, and return type. However, it lacks usage context, differentiation from similar option-minute tools, and details about the data's time range or interval. It is sufficient but not thorough.

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

Parameters3/5

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

The description includes a docstring explaining that 'symbol' is the option code (期权代码), which adds meaning beyond the schema's bare property name. However, it does not elaborate on format, allowed values, or how to obtain a valid symbol. The default value provides an example but no further explanation.

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 states '指定期权的分钟频率数据' (minute-frequency data for specified options), which clearly identifies the tool's function. The URL to Sina Finance's option quotes page indicates the data source. However, it does not explicitly differentiate from similar sibling tools like option_sse_minute_sina, so it is clear but not distinguishing.

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?

The description provides no guidance on when to use this tool versus alternatives, no exclusions, and no mention of data frequency or time range. It only states the parameter and return type, leaving the agent to infer usage context.

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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