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kevynf

AKBridge MCP Server

by kevynf

macro_china_fx_gold

Read-onlyIdempotent

Retrieve China's foreign exchange and gold reserves data from Eastmoney. Returns historical figures in a structured DataFrame for analysis and monitoring.

Instructions

东方财富-外汇和黄金储备 https://data.eastmoney.com/cjsj/hjwh.html :return: 外汇和黄金储备 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

The annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true, so the safety profile is covered. The description only adds the return type (pandas.DataFrame) and a source URL, without additional behavioral context such as data scope, update frequency, or potential quirks. It does not contradict annotations but adds minimal value beyond them.

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 extremely short and front-loaded with the data source and subject. It includes a URL and return type in a concise docstring format. It could be slightly improved with a proper sentence, but it avoids unnecessary verbosity and earns a high score for economy of words.

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

Completeness2/5

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

Without an output schema, the description must explain what the returned DataFrame contains. It only says 'foreign exchange and gold reserves' without specifying columns, granularity, time range, or whether it returns historical or current data. This is insufficient for an agent to have confidence in what it will receive.

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 schema coverage is trivially 100%. The description correctly notes the return type, which is the only meaningful semantic information a parameterless retrieval tool needs to convey. No parameter explanation is required.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description provides the source (East Money) and subject matter (foreign exchange and gold reserves), but it lacks a clear verb indicating the action (e.g., 'get', 'retrieve', 'fetch'). It reads more like a title than an instruction, and it does not differentiate from similar sibling tools like macro_china_foreign_exchange_gold or macro_china_fx_reserves_yearly.

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

Usage Guidelines1/5

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 alternatives. The description does not mention any conditions, prerequisites, or comparisons to other macro tools, leaving the agent without a rationale for selection.

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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