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kevynf

AKBridge MCP Server

by kevynf

index_option_kcb_min_qvix

Read-onlyIdempotent

Retrieves STAR Market option volatility index QVIX intraday data, offering time-series values for volatility analysis and trading decisions.

Instructions

科创板 期权波动率指数 QVIX-分时 http://1.optbbs.com/s/vix.shtml?KCB :return: 科创板 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 readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is clear. The description adds the source URL and return type (pandas.DataFrame), but does not disclose additional behavioral details such as update frequency, time zone, or potential rate limits. With annotations covering the core safety aspects, 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.

Conciseness3/5

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

The description is very brief, which is good for conciseness, but it redundantly repeats the same phrase '科创板 期权波动率指数 QVIX-分时' in both the first line and the :return: line. The URL is somewhat useful but the redundancy could be trimmed to a single sentence without loss of meaning.

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 zero-parameter data retrieval tool with annotations and no output schema, the description is minimally viable. It states the data source and returns a DataFrame, but lacks details on expected columns, data granularity (e.g., 1-minute vs. 5-minute), or historical depth. This leaves some ambiguity for an agent seeking to use the data correctly.

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?

There are zero parameters and the schema is empty, so the baseline for parameter semantics is 4. The description correctly implies no input is needed, and no parameter documentation is required.

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 identifies the tool as providing the STAR Market (科创板) options volatility index QVIX intraday (分时) data, and the :return: line explicitly states what is returned. The '分时' term differentiates it from the non-min QVIX sibling tools, although it lacks a direct verb like 'get' or 'fetch'.

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. It does not mention that for daily QVIX data one should use index_option_kcb_qvix, nor does it explain any distinguishing use cases among the many sibling option QVIX tools. The only context is a URL, which does not help with tool selection.

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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