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lolifamily

ashare-mcp

get_performance_report

Retrieve filed performance express reports or profit forecast guidance for a stock by code and date range.

Instructions

Fetch performance express (业绩快报) or forecast (业绩预告) reports.

kind:

  • 'express': performance express reports — absolute performanceExpressTotalAsset / NetAsset / EPSDiluted / ROEWa / GRYOY for companies that file them ahead of the full report.

  • 'forecast': performance forecast reports — profitForcastChgPctUp / profitForcastChgPctDwn and the forecast type.

Args: code: Stock code. kind: 'express' for filed express reports, 'forecast' for guidance. start_date: 'YYYY-MM-DD'. end_date: 'YYYY-MM-DD'.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
kindYes
start_dateYes
end_dateYes
Behavior3/5

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

No annotations are provided, so the description carries full burden. It discloses output fields for each kind but does not discuss limitations, data latency, authentication needs, or whether results are a list or single object. It is partially transparent.

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 clear sections: a one-sentence purpose, then details for each kind, then args. While fairly detailed, it remains focused and includes only necessary information.

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?

With no output schema, the description partially explains return fields but does not specify the overall return format (e.g., list of records, single record). It omits details like whether multiple reports can be returned per date range or the structure of the response.

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 description coverage, the description compensates well by explaining each parameter: code, kind (with enum meanings and associated fields), and date formats (YYYY-MM-DD). This adds significant value beyond the schema.

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 fetches performance express or forecast reports for a stock, explaining the difference between the two kinds with specific data fields. This distinguishes it from sibling tools like get_financial_indicators or get_financial_statement.

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 does not explicitly state when to use this tool versus alternatives, nor does it provide context about when not to use it. It only describes the tool's function without guidance on selection among siblings.

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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