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lolifamily

ashare-mcp

get_adjust_factor_data

Retrieve adjustment factors for stock price adjustment. Factors are provided on ex-dividend or ex-rights dates for accurate adjusted price calculations.

Instructions

Fetch adjustment factor data for calculating adjusted prices.

Factors exist only on ex-div / ex-rights dates; a window with none returns an empty list.

Args: code: Stock code. start_date: 'YYYY-MM-DD'. end_date: 'YYYY-MM-DD'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
start_dateYes
end_dateYes
Behavior3/5

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

No annotations provided, so description carries full burden. It mentions empty list behavior but lacks details on read-only nature, authentication, or rate limits.

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 concise with a clear purpose line and structured Args section. Every sentence adds value, though could be slightly more compact.

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 no annotations or output schema, it covers basics and edge case but misses explanation of adjustment factors significance and output format.

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?

With 0% schema coverage, the description adds meaning by specifying stock code and date format (YYYY-MM-DD) for the required params, though code format is not detailed.

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 the tool fetches adjustment factor data for calculating adjusted prices, which is specific and distinct from siblings like get_historical_k_data.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explains that factors only exist on ex-div/ex-rights dates and returns empty list if none, guiding when to use it and what to expect. However, no explicit when-not or alternatives.

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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