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kevynf

AKBridge MCP Server

by kevynf

index_dei_cx

Read-onlyIdempotent

Fetches the Caixin Digital Economy Index and returns it as a pandas DataFrame for financial data analysis.

Instructions

财新数据-指数报告-数字经济指数 https://yun.ccxe.com.cn/indices/dei :return: 数字经济指数 :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 cover safety traits (readOnlyHint=true, destructiveHint=false, idempotentHint=true). The description adds minimal behavioral context: the source URL and the return type (pandas.DataFrame). It does not disclose data content, granularity, or any unique behavioral characteristics beyond those signals, but this is sufficient given the annotation coverage.

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 and well-structured: it leads with the tool's purpose, then the source URL, then return metadata. Every element is relevant and there is no padding or 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?

The description is adequate for a simple parameterless tool: it tells the agent what it returns (a DataFrame with the Digital Economy Index) and its source. However, it does not describe the DataFrame's columns or data granularity, and there is no output schema to fill that gap. This is a clear limitation, but the description is still usable for selection and invocation.

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?

There are zero parameters, so the schema is empty and the description's main contribution is the return type (:rtype: pandas.DataFrame) and the source URL. With 0 parameters, the baseline is 4, and the description adds value by specifying the output format.

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 the resource (Digital Economy Index) and the source (Caixin Data) with a URL, and the :return: tag indicates it returns the index. However, it lacks an explicit verb like 'retrieve' or 'get', so it reads more like a title than a clear action statement, though the intent is unambiguous.

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?

There is no guidance on when to use this tool versus alternative index tools. The description simply repeats the name and provides a URL and return type. It neither mentions alternatives nor provides exclusion criteria, leaving the agent to infer usage solely from the tool 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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