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kevynf

AKBridge MCP Server

by kevynf

macro_china_retail_price_index

Read-onlyIdempotent

Retrieve China's retail price index from official sources. Use this data to analyze retail price trends and inflation for economic research.

Instructions

商品零售价格指数 https://finance.sina.com.cn/mac/#price-12-0-31-1 :return: 商品零售价格指数 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations already state readOnlyHint, openWorldHint, and idempotentHint. The description adds only a source URL and return type, without disclosing data frequency, units, time range, or any other behavioral traits. It provides minimal context beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely short but under-specified. It is not conciseness that adds value; it omits essential information and lacks structured explanation beyond the docstring lines.

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?

With no output schema and no parameters, the description is insufficient. It does not explain what data will be returned (e.g., historic time series, units, or period), leaving significant ambiguity for an AI agent.

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?

There are zero parameters, so the baseline is 4. The description indicates the return type as a DataFrame, which is helpful, but there are no parameters to elaborate on.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description names the resource (商品零售价格指数) and provides a source URL and return type, but lacks an explicit action verb like 'retrieves' or 'returns'. It identifies the index but does not clearly differentiate from sibling macro tools beyond the name itself.

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?

There is no guidance on when to use this tool versus other macro economic data tools. No alternatives, prerequisites, or context are mentioned, leaving the agent without direction on selection.

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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