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kevynf

AKBridge MCP Server

by kevynf

macro_usa_export_price

Read-onlyIdempotent

Retrieve the US Export Price Index (current value %) with historical data from February 1989 to today. Ideal for analyzing trade price trends.

Instructions

美国出口价格指数报告, 数据区间从19890201-至今 https://datacenter.jin10.com/reportType/dc_usa_export_price https://cdn.jin10.com/dc/reports/dc_usa_export_price_all.js?v=1578741832 :return: 美国出口价格指数报告-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, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds useful behavioral context about the data range and that it returns a pandas.Series. However, it does not disclose potential quirks like update frequency or handling of missing values, so it stops at adequate.

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 moderately sized but cluttered with two long URLs and Python docstring-style return/rtype lines. It front-loads the core meaning but includes extraneous source URLs that are not essential for tool invocation. It is acceptable but not optimally concise.

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 zero-parameter tool, the description covers the essential context: what data is returned (US Export Price Index current value), the historical range, and the return type (pandas.Series). It lacks details on data frequency but is otherwise sufficient for an agent to invoke the tool correctly.

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 takes zero parameters, so the description has no parameter semantics to explain. The baseline for 0 params is 4, and the description appropriately adds return type and data range context without needing to clarify input fields.

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

Purpose4/5

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

The description clearly identifies the tool as providing the US Export Price Index report with a data range from 1989-02-01 to present, and specifies the return value as the current value (%). Although it lacks an explicit verb, the resource and output are unambiguous. It also distinguishes itself from the sibling macro_usa_import_price by focusing on export rather than import.

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. Among the many macro_* siblings, there is no indication of preferred use cases, exclusions, or comparisons to tools like macro_usa_import_price. The agent is left to infer usage context solely from the name.

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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