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kevynf

AKBridge MCP Server

by kevynf

car_market_man_rank_cpca

Read-onlyIdempotent

Retrieve car manufacturer rankings from CPCA statistics. Select passenger car category (narrow/general, monthly/cumulative) and indicator (wholesale/retail) to get data.

Instructions

乘联会-统计数据-厂商排名 http://data.cpcadata.com/ManRank :param symbol: choice of {"狭义乘用车-单月", "狭义乘用车-累计", "广义乘用车-单月", "广义乘用车-累计"} :type symbol: str :param indicator: choice of {"批发", "零售"} :type indicator: str :return: 统计数据-厂商排名 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolNo狭义乘用车-单月
indicatorNo批发
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint false. The description adds the source URL and return type (pandas.DataFrame) but does not disclose data freshness, date range limitations, or response shape. No contradiction with annotations.

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 compact and follows a clear docstring pattern with params and return type. It is front-loaded with the purpose but repeats '统计数据-厂商排名' in both the title line and return line, adding slight redundancy.

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?

With no output schema, the description only says the return is a DataFrame, lacking column details, possible time ranges, or how the data is structured. It is sufficient to invoke the tool but insufficient to fully interpret results or select between closely related car_market siblings.

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 description explicitly lists allowed choices for both symbol and indicator, compensating for the absence of schema descriptions. It also provides types and defaults. However, it does not explain the meaning of values like '单月' vs '累计' or '批发' vs '零售' in terms of resulting data.

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 resource as CPCA manufacturer rankings via a URL and the name suggests ranking data. It distinguishes from sibling car_market_* tools by specifying '厂商排名' (manufacturer ranking). However, it lacks an explicit verb like '获取' or '返回', making the action implicit.

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 car_market_total_cpca or car_sale_rank_gasgoo. The description is purely declarative and does not state use cases, prerequisites, or exclusions.

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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