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kevynf

AKBridge MCP Server

by kevynf

macro_usa_import_price

Read-onlyIdempotent

Retrieve the US import price index current value (%) from data spanning 1989 to present. Use it to monitor import price changes and economic conditions.

Instructions

美国进口物价指数报告, 数据区间从19890201-至今 https://datacenter.jin10.com/reportType/dc_usa_import_price :return: 美国进口物价指数报告-今值(%) :rtype: pandas.Series

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, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds the data range and return type (pandas Series, current value %), but does not disclose other behavioral traits like update frequency or potential data limitations. This is adequate but not rich.

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 and front-loaded with the report name and data range, followed by a source URL and return type. It avoids unnecessary fluff, though the URL line is somewhat extraneous but still useful for context.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple no-parameter data retrieval tool, the description covers the essential aspects: what it returns (US import price index), the time range, the source URL, and the return format. It doesn't explain the exact columns or update schedule, but the output schema is absent and the tool's simplicity reduces the need for more detail.

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% (empty schema). The description adds context about the returned series (今值(%) and pandas.Series), which is sufficient. With no parameters to explain, a score of 4 reflects the baseline for zero-param tools.

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 identifies the tool as returning the US import price index report data series, with a specific resource and coverage period (19890201-present). The name and description together make it distinct from sibling tools like macro_usa_export_price and other macro_usa_* indicators.

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?

The description provides no explicit guidance on when to use this tool versus alternatives such as macro_usa_export_price or other macro indicators. It only describes the data content, leaving the agent to infer usage from the name and sibling structure.

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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