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maimai-hqw

ashare-mcp

by maimai-hqw

get_dupont_data

Retrieves quarterly DuPont decomposition data for a given stock code, including ROE, leverage, asset turnover, and profit margin components. Use it to analyze financial performance drivers.

Instructions

Quarterly DuPont decomposition (季频杜邦指数). quarter 1..4. Fields: dupontROE, dupontAssetStoEquity, dupontAssetTurn, dupontPnitoni, dupontNitogr, dupontTaxBurden, dupontIntburden, dupontEbittogr.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
yearNo
quarterNo
Behavior2/5

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

No annotations provided, and the description only indicates it returns quarterly data. It does not disclose behavior like data range limitations, potential errors, or idempotency. The description carries full burden but is minimal.

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 extremely concise: two sentences that front-load the purpose and list fields. Every word adds value without repetition.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given no output schema and three parameters, the description lacks essential details on output format, data coverage, and parameter constraints. It is insufficient for an agent to invoke correctly without additional knowledge.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0%, and the description only mentions 'quarter 1..4' and lists output fields. It does not explain the 'code' parameter (e.g., stock format), nor the exact format for 'year' and 'quarter' (e.g., '2023' vs '2023-12-31', '1' vs 'Q1').

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 states it provides quarterly DuPont decomposition, specifying the field names. This clearly identifies the tool's function, distinguishing it from siblings that retrieve other financial data.

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 versus alternatives like get_profit_data or get_balance_data. The description does not mention prerequisites or context for use.

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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