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openstockdata

stock-data-mcp

A股涨停/强势股池

stock_zt_pool

Retrieve limit-up, strong, limit-down, or yesterday's limit-up stock pools from China A-share market for specified trading dates.

Instructions

获取中国A股市场(上证、深证)的涨停股池或强势股池数据

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNo交易日日期(可选),默认为最近的交易日,格式: 20251231
limitNo返回数量(int,30-100)
pool_typeNo股池类型: '涨停'(涨停股池), '强势'(强势股池), '跌停'(跌停股池), '昨日涨停'(昨日涨停股今日表现)涨停
Behavior2/5

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

No annotations are provided, and the description does not disclose behavioral traits such as whether the operation is read-only, data freshness, rate limits, or error handling. For a read operation, basic safety information is missing.

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

Conciseness5/5

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

The description is a single concise sentence that directly communicates the tool's purpose without any redundant or extraneous information. It is front-loaded and efficient.

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?

Given the tool has a simple data retrieval function with 3 parameters and no output schema, the description adequately states its purpose. However, it lacks details on return format, error cases, and usage context, which are not critical but would enhance completeness.

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 input schema has 100% description coverage, meaning each parameter already has a clear description in the schema. The tool's description adds no additional semantic meaning beyond what is in the schema, meriting a baseline score of 3.

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 it retrieves limit-up/strong stock pool data for China A-shares (Shanghai/Shenzhen exchanges). The title and description together specify the exact resource and action, distinguishing it from other stock tools like stock_realtime or stock_prices.

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 when-not-to-use notes, and no mention of prerequisites or typical use cases. It only states functionality without contextual usage advice.

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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