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kevynf

AKBridge MCP Server

by kevynf

macro_usa_cme_merchant_goods_holding

Read-onlyIdempotent

Fetches CME precious metals merchant goods holding data from April 5, 2018 to present as a pandas DataFrame for macro analysis.

Instructions

CME-贵金属,数据区间从 20180405-至今 https://datacenter.jin10.com/org :return: CME-贵金属 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description usefully adds the data coverage window (2018-04-05 to present) and the data origin, which the annotations do not. It does not disclose return columns or freshness beyond the vague 'to present'.

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?

Very short and front-loaded with the resource name and coverage window. The ':return:'/':rtype:' docstring fragments are slightly mechanical, but the DataFrame return type is genuine information given there is no output schema.

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?

For a parameterless data-fetch tool with no output schema, the description covers what it returns and the time span but omits the returned column semantics and how 'to present' updates. It is adequate but leaves the agent guessing about fields, which matters because no schema documents them.

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 takes zero parameters, so the baseline of 4 applies; there is no parameter semantics to document. Schema coverage is moot at 0 params.

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 states it returns CME precious-metals holding data across a date range and gives a source URL, so the resource is identifiable. However, it does not distinguish this tool from the many near-identical holding siblings (macro_usa_cftc_merchant_goods_holding, macro_usa_cftc_merchant_currency_holding, macro_usa_cftc_c_holding, macro_euro_lme_holding). The name ('merchant goods') and description ('贵金属'/precious metals) are also not perfectly aligned, adding mild ambiguity.

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 when-to-use guidance, no conditions distinguishing it from alternative holding datasets, and no mention of the other CME/CFTC/COT-style tools. The only context is a static date range and a source link.

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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