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kevynf

AKBridge MCP Server

by kevynf

spot_soybean_price_soozhu

Read-onlyIdempotent

Fetch national soybean meal price trends from soozhu.com's data center, returning a pandas DataFrame for analysis and decision-making.

Instructions

搜猪-生猪大数据-全国豆粕价格走势 https://www.soozhu.com/price/data/center/ :return: 全国豆粕价格走势 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds the return type (pandas.DataFrame) and the source URL, but does not disclose data frequency, time range, columns, or other behavioral traits.

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?

The description is short and structured with a title, URL, and docstring return type. The first line repeats the title annotation, which is slightly redundant but not wasteful.

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 no-parameter read-only tool, the description provides the essential purpose and return type, but lacks detail on the output columns or the exact meaning of '走势' (trend), which would be helpful given no output schema.

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 schema is empty and the description correctly makes no parameter claims.

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 returns '全国豆粕价格走势' (national soybean meal price trend) from the soozhu data center, and specifies the return type as pandas.DataFrame. The name and description distinguish it from sibling tools like spot_corn_price_soozhu by commodity.

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 on when to use this tool versus alternatives. It does not mention whether to use it for historical analysis, real-time spot prices, or how it compares to related hog/feed price 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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