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kevynf

AKBridge MCP Server

by kevynf

macro_usa_cftc_merchant_goods_holding

Read-onlyIdempotent

Retrieve U.S. CFTC commodity commercial holdings data from 1986 onward as a pandas DataFrame to track futures market positioning.

Instructions

美国商品期货交易委员会CFTC商品类商业持仓报告,数据区间从 19860115-至今 https://datacenter.jin10.com/reportType/dc_cftc_merchant_goods :return: 美国商品期货交易委员会CFTC商品类商业持仓报告 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds genuine context the annotations lack — the start date of the series and the upstream data source URL — but says nothing about update frequency, latency, or response size.

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?

Front-loaded with the report name and date range, then the source URL and return type. Slightly cluttered by leftover docstring artifacts (:return:, :rtype:) that duplicate information already implied, but it is short and wastes no sentences.

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

Completeness4/5

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 supplies the resource, coverage window, source, and return type (pandas.DataFrame), which is enough to call it correctly. Frequency of the underlying report and column semantics remain undocumented, but those are secondary.

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 there is nothing for the description to disambiguate; the schema is closed (additionalProperties=false) and 100% covered. Baseline 4 applies for a no-parameter definition.

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?

States a specific resource — the CFTC commercial (merchant) goods positions report — plus the historical coverage window (1986-01-15 to present), which lets an agent distinguish it from siblings like macro_usa_cftc_nc_holding (non-commercial) and macro_usa_cftc_merchant_currency_holding. It does not name those siblings explicitly, so it stops short of a 5.

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 statement of the report's cadence (weekly CFTC release), and no routing to the closely related sibling tools (nc_holding, c_holding, cme_merchant_goods_holding). The agent must infer applicability purely from the title.

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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