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kevynf

AKBridge MCP Server

by kevynf

macro_china_agricultural_index

Read-onlyIdempotent

Fetch China's agricultural by-products index data. Returns a pandas DataFrame sourced from East Money's economic database.

Instructions

农副指数 https://data.eastmoney.com/cjsj/hyzs_list_EMI00662543.html :return: 农副指数 :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, destructiveHint=false, idempotentHint=true, and openWorldHint=true, covering the safety profile. The description adds only a URL and return type, contributing no additional behavioral context such as data scope, update frequency, or access constraints.

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 short and front-loaded with the name, but it repeats '农副指数' multiple times and compresses information into a docstring format. It is minimally sufficient but not well-structured or informative enough to earn a higher score.

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?

For a simple zero-parameter read-only tool, the description provides the essential idea (returns agricultural index data) and a source URL. However, it lacks details about the data content, time range, or intended use, leaving room for confusion about what exactly is returned.

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 the schema coverage is 100%. The baseline for zero-parameter tools is 4; the description does not need to explain parameters. The lack of parameter information is not a gap because there is nothing to document.

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 ('农副指数' / agricultural by-product index) and specifies the return type as pandas.DataFrame, indicating it retrieves index data. However, it lacks an explicit verb (e.g., 'get' or 'fetch') and does not differentiate from siblings like macro_china_energy_index 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 alternatives. No context is given about the type of data, its source, or how it differs from related macro_china_* tools. The agent is left to infer usage from the name and URL.

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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