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kevynf

AKBridge MCP Server

by kevynf

macro_usa_ppi

Read-onlyIdempotent

Fetch US Producer Price Index (PPI) reports from 2008-02-26 to present for inflation tracking and economic research.

Instructions

美国生产者物价指数(PPI)报告,数据区间从 20080226-至今 https://datacenter.jin10.com/reportType/dc_usa_ppi :return: 美国生产者物价指数(PPI)报告 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.6/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is clear. The description adds the data range (20080226-present), which is useful context beyond annotations, and the return type (pandas.DataFrame). However, it does not describe update frequency, latency, or authentication requirements.

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 a single sentence that is front-loaded with the key information (what it is, data range). It includes a URL and return type, which are useful but could be omitted. Overall it is concise and structured.

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?

Given the tool has no parameters, no output schema, and annotations that cover safety/behavior, the description provides enough to call it correctly: it states what the tool returns and the data range. It lacks details on output format (though rtype indicates a DataFrame), but that's acceptable without an 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?

The tool has zero parameters, so baseline is 4. The description correctly implies no parameters are needed, and the schema confirms this.

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 states a specific verb+resource: it returns the US Producer Price Index (PPI) report, with a data range of 20080226 to present. This clearly distinguishes it from siblings like macro_usa_cpi_monthly or macro_usa_core_ppi, though it doesn't explicitly differentiate from those in text.

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 given on when to use this tool versus alternatives. It does not mention use cases, exclusions, or related tools like macro_usa_core_ppi or macro_usa_cpi_monthly.

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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