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xinkuang

China Stock MCP

by xinkuang

get_investor_sentiment

Retrieve investor sentiment data for a stock symbol, including user attention index, daily market participation, stock ratings, and institutional involvement.

Instructions

分析投资者情绪数据,包括用户关注指数、日度市场参与意愿、股票评级记录和机构参与度。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes股票代码 (例如: '000001')
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 provided, so the description carries full burden. It describes the data content but does not disclose behavioral traits such as read-only nature, side effects, rate limits, or authorization needs.

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 efficiently conveys the tool's purpose and data categories. Could be improved by structuring for readability, but sufficiently concise.

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 simple schema (2 params, output schema exists), the description is adequate but lacks details on output format flexibility and usage context. It does not cover behavioral aspects, leaving gaps.

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 coverage is 100%, and the description adds meaning by listing the types of data included (user attention index, etc.), which helps the agent understand what the output will contain beyond the parameter descriptions.

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's purpose: analyzing investor sentiment data, listing specific components (user attention index, daily market participation willingness, etc.). It uses a specific verb and resource, distinguishing it from sibling 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 explicit guidance on when to use this tool versus alternatives (e.g., get_fund_flow, get_hist_data). The description lacks context for usage conditions or exclusions.

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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