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kevynf

AKBridge MCP Server

by kevynf

macro_uk_gdp_quarterly

Read-onlyIdempotent

Retrieve the UK's quarterly GDP initial value from East Money's economic database. Returns a pandas DataFrame for economic analysis and reporting.

Instructions

东方财富-经济数据-英国-GDP 季率初值 https://data.eastmoney.com/cjsj/foreign_4_12.html :return: GDP 季率初值 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds context about the data source (East Money, with URL) and the return type (pandas.DataFrame), which is useful beyond the structured 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, but it contains some redundancy by repeating the title in the first line and then again in the return annotation. The URL is useful context but not strictly necessary. Overall, it is concise and structured with clear return information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple, no-parameter tool with no output schema. The description tells the agent exactly what data it returns (GDP quarterly rate preliminary value), in what format (pandas.DataFrame), and from where (East Money URL). This is fully sufficient for an agent to invoke it 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?

There are zero parameters, so the baseline is 4. The description provides no parameter-level details because none exist, which is appropriate and complete.

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 UK GDP quarterly rate preliminary value from East Money, and the name distinguishes it from yearly GDP tools. However, it lacks an explicit verb like 'retrieve' or 'get', relying on the noun phrase and tool name to convey the action.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description states the data type and source but gives no explicit guidance on when to use this tool versus alternatives such as macro_uk_gdp_yearly. Usage is implied by the 'quarterly' qualifier and the tool name, but no direct comparison or exclusion is provided.

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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