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kevynf

AKBridge MCP Server

by kevynf

macro_china_ppi

Read-onlyIdempotent

Retrieve China's industrial producer price index (PPI) from EastMoney. Provides historical PPI data as a pandas DataFrame for economic analysis.

Instructions

东方财富-中国工业品出厂价格指数 https://data.eastmoney.com/cjsj/ppi.html :return: 东方财富中国工业品出厂价格指数 :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?

The description discloses the return type (pandas.DataFrame) and the data source URL, which adds value beyond the annotations. However, with annotations already declaring readOnly, openWorld, and idempotent hints, the additional behavioral context is limited; it does not mention data granularity, update frequency, or potential network dependencies.

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 concise with only three lines, but the first line largely restates the tool name, and the URL may be of marginal use. It is structured with the title, source, and return type, though the redundancy slightly reduces efficiency.

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 zero-parameter read-only tool with strong annotations, the description is adequate but not fully complete. It states the source and return type but does not describe the contents of the DataFrame or the time period covered, which would be useful for an 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?

The tool has zero parameters, so there are no parameter semantics to explain. The baseline for no parameters is 4, and the description does not need to compensate for any missing parameter info.

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 identifies the specific resource (China industrial producer price index from Eastmoney) but lacks a verb and reads more like a title than an action statement. It does not explicitly say 'get' or 'fetch', making it somewhat vague, though it is distinguishable from generic terms.

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 such as macro_china_ppi_yearly or other macro indicators. The description does not mention any exclusions or alternative scenarios, leaving the selection entirely to the agent's inference.

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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