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kevynf

AKBridge MCP Server

by kevynf

index_awpr_cx

Read-onlyIdempotent

Fetch the Caixin New Economy Entry Wage Premium index, which measures the wage premium for new economy entries. This tool returns structured data for economic analysis and reporting.

Instructions

财新数据-指数报告-新经济入职工资溢价水平 https://yun.ccxe.com.cn/indices/nei :return: 新经济入职工资溢价水平 :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, destructiveHint=false, idempotentHint=true, and openWorldHint=true, so the safety profile is well covered. The description adds some context via the source URL and return type (pandas.DataFrame), but does not disclose any additional behavioral traits such as authentication needs, rate limits, or time period coverage. This is consistent with annotations (no contradiction).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: a single line for the title, a URL, and a standard :return:/:rtype: pair. There is no fluff or redundant explanation beyond the docstring's return type, which is conventional. It is front-loaded with the resource name and immediately provides the data source.

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's simplicity (zero parameters, read-only, no output schema), the description is largely complete: it identifies the exact data product and its return type. It could elaborate on what the index measures (e.g., definition or units) or its update frequency, but the URL and title provide sufficient context for a basic data retrieval tool.

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 input schema is empty with zero parameters, so there is nothing to explain. Schema description coverage is 100% (vacuous), and the baseline for 0 params is 4. The description does not add parameter information because none exists.

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 names a specific resource: '财新数据-指数报告-新经济入职工资溢价水平' (Caixin Data Index Report – New Economy Entry Wage Premium), which distinguishes it from sibling index tools like index_ai_cx or index_nei_cx. However, it lacks an explicit verb ('get', 'fetch', 'return') in the main description; the :return: line implies retrieval but does not state the action directly.

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 guidance on when to use this tool versus alternatives. It is a bare title followed by a URL and return type, with no mention of use cases, prerequisites, or exclusions. Sibling tools are numerous (many index_*_cx variants), but the description offers no differentiation or selection advice.

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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