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kevynf

AKBridge MCP Server

by kevynf

macro_china_vegetable_basket

Read-onlyIdempotent

Retrieve China's vegetable basket wholesale price index, as published by EastMoney. Provides a pandas DataFrame with historical index values.

Instructions

菜篮子产品批发价格指数 https://data.eastmoney.com/cjsj/hyzs_list_EMI00009275.html :return: 菜篮子产品批发价格指数 :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 declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. However, the description adds little behavioral context, such as data source reliability, update frequency, or any caveats. The URL is present but not explained.

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

Conciseness3/5

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

The description is very short and front-loaded with the title and URL, but it lacks meaningful explanatory content. The format is clear (title, URL, return/type lines) but almost every element is redundant with the name or the schema. It is concise but not informative.

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 the tool is simple with no parameters and good annotations, the need for extensive description is reduced. However, the description still does not explain what data exactly is returned (e.g., historical series, current value), the frequency, or the specific source beyond a bare URL. It feels incomplete even for a simple tool.

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?

The tool has zero parameters and schema coverage is 100%, so there is no parameter burden. The description adds a return type and URL, which is acceptable for a parameterless tool. The baseline for 0 params is 4.

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

Purpose2/5

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

The description is essentially a restatement of the tool name ('菜篮子产品批发价格指数') with a URL and return type. There is no explicit verb indicating an action like 'fetch' or 'retrieve', so it fails to clearly state what the tool does beyond repeating its name.

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 is provided about when to use this tool versus alternatives. There is no mention of scenarios, comparisons with sibling macro indices, or exclusions. The description merely states the data source and return type.

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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