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DannyWongIsAvailable

Real-time Stock MCP Service

get_stock_billboard_data

Fetch historical billboard (龙虎榜) records for a stock by code. Returns a Markdown table with configurable page size.

Instructions

获取龙虎榜上榜历史数据(历次上榜)

Args: stock_code: 股票代码,数字后带上交易所代码,格式如688041.SH page_size: 返回数据条数,默认为10条

Returns: 格式化的龙虎榜上榜历史数据,以Markdown表格形式展示

Examples: - get_historical_billboard_data("688041.SH") - get_historical_billboard_data("688041.SH", 20)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stock_codeYes
page_sizeNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions the return format (Markdown table) but fails to disclose behavioral traits such as read-only nature, authentication needs, rate limits, or error handling.

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 structured with Args, Returns, and Examples sections, making it easy to parse. It is concise without unnecessary fluff, though slightly verbose with docstring formatting.

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?

The description covers the basic purpose and parameters, but lacks context for disambiguation from sibling tools, error scenarios, and limitations. Given the complexity (2 params, no annotations), it is adequate but not complete.

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?

Schema coverage is 0%, but the description compensates by explaining each parameter: 'stock_code' with format example and 'page_size' with meaning and default. This adds meaning beyond the schema.

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 clearly states it retrieves historical billboard data for a specific stock, using a specific verb (获取). It provides parameter details and return format, but does not distinguish from the sibling tool 'get_billboard_data' which might have overlapping functionality.

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 explicit guidance on when to use this tool versus alternatives like 'get_billboard_data'. The description explains what it does but not when it is appropriate or when to avoid it.

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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