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kevynf

AKBridge MCP Server

by kevynf

index_option_300index_min_qvix

Read-onlyIdempotent

Retrieve minute-level QVIX data for CSI 300 index options, returning a DataFrame of volatility index values.

Instructions

中证300股指 期权波动率指数 QVIX-分时 http://1.optbbs.com/s/vix.shtml?Index :return: 中证300股指 期权波动率指数 QVIX-分时 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare this is read-only, idempotent, and non-destructive, so the description need not repeat those. It adds a source URL and return type (DataFrame), which offers some behavioral context beyond annotations, but it does not disclose data update frequency, rate limits, or column specifics. No contradiction with annotations exists.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is brief but contains redundancy: the first line and the ':return:' line are identical phrases. The URL and ':rtype:' are useful, but the duplication wastes space and could be consolidated for better structure.

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?

Given the zero-parameter, read-only nature with good annotations, the description covers the essentials: it states the data type (QVIX intraday for CSI 300 index options), provides a source URL, and specifies the return DataFrame format. It does not detail columns or update schedule, but for a simple tool this 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 tool has zero parameters, so the schema is fully complete (100% coverage), and the baseline for 0 params is 4. The description adds no parameter-related details, but it provides context about the data source and return format, which is sufficient for a zero-parameter tool.

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 is essentially the tool name restated in Chinese ("中证300股指 期权波动率指数 QVIX-分时"), identifying the resource and frequency but lacking an explicit verb like 'fetch' or 'return'. It does state the return type (pandas.DataFrame) and a source URL, which adds some clarity, but the purpose is more labeled than defined.

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?

There is no guidance on when to use this tool versus similar siblings such as index_option_300index_qvix (likely daily) or other index variants. The description only mentions '分时' (intraday) without contrasting it with alternatives, so an agent cannot easily decide between this and closely named tools.

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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