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xinkuang

China Stock MCP

by xinkuang

get_profit_forecast

Retrieve earnings forecast data for a Chinese stock, including predicted annual net profit and earnings per share.

Instructions

获取股票的业绩预测数据,包括预测年报净利润和每股收益

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes股票代码 (例如: '600519')
output_formatNo输出数据格式: json, csv, xml, excel, markdown, html。默认: markdownmarkdown

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 must disclose behavioral traits. It only states it 'gets' data, implying a read operation, but does not confirm safety, authorization needs, or data freshness. Significant gap for a tool with no annotations.

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?

Single sentence, concise and front-loaded. However, it is in Chinese, which may limit readability for English agents. No waste of words, but lacks structure like bullet points.

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 the output schema exists, return value explanation is not required. However, the tool has many siblings and minimal description, leaving the agent uncertain about the data source, time range, or forecast horizon. Slightly below adequate for completeness.

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

Parameters3/5

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

Schema coverage is 100% with clear parameter descriptions for symbol and output_format. The description adds no extra semantic meaning beyond stating the data includes profit and EPS, which is a general output hint rather than parameter-specific context. Baseline score of 3 is appropriate.

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 stock profit forecast data, specifically annual net profit and EPS. It offers a specific verb and resource, distinguishing it from historical financial data tools like get_financial_metrics or get_income_statement. However, it does not explicitly contrast with siblings.

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. The description only states what it does, with no mention of prerequisites, exclusions, or comparison to other tools.

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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