Skip to main content
Glama
lolifamily

ashare-mcp

get_historical_k_data

Fetch historical OHLCV and valuation data for Chinese A-share stocks. Supports daily, weekly, monthly, and minute frequencies with forward/backward adjustment options.

Instructions

Fetch historical K-line (OHLCV + valuation) data for a Chinese A-share stock.

Args: code: Stock code in baostock format, e.g. 'sh.600000', 'sz.000001'. start_date: Start date 'YYYY-MM-DD'. end_date: End date 'YYYY-MM-DD'. frequency: 'd' daily, 'w' weekly, 'm' monthly, '5'/'15'/'30'/'60' minutes. adjust_flag: '1' backward/后复权, '2' forward/前复权, '3' unadjusted/不复权 (default '3'). fields: Comma-separated field list. Defaults to all standard fields.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
start_dateYes
end_dateYes
frequencyNod
adjust_flagNo3
fieldsNo
Behavior3/5

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

No annotations, so description must disclose behavior. It explains parameters and defaults but doesn't mention data source limitations, rate limits, or error handling. Adequate but not thorough.

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?

Well-structured with summary line followed by argument list. Slightly verbose but front-loaded with purpose. Could be trimmed slightly.

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?

No output schema, so description should explain return format. It doesn't. Parameter documentation is good but lacks behavioral context like data limits or pagination. Adequate for a 6-param tool with 3 required.

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 description coverage is 0%, but description provides detailed explanations for each parameter (code format, date format, frequency options, adjust_flag choices, fields default). Adds significant meaning beyond schema types.

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?

Description clearly states 'Fetch historical K-line (OHLCV + valuation) data for a Chinese A-share stock' – specific verb and resource. Distinct from sibling valuation and financial data tools.

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 guidance on when to use this tool vs alternatives like get_stock_basic_info or get_technical_indicators. No exclusions or context provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/lolifamily/ashare-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server