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kevynf

AKBridge MCP Server

by kevynf

macro_usa_cftc_c_holding

Read-onlyIdempotent

Fetch US CFTC non-commercial holdings data from 1983 onward for analyzing speculative positioning in commodity and forex futures markets.

Instructions

美国商品期货交易委员会CFTC商品类非商业持仓报告,数据区间从 19830107-至今 https://datacenter.jin10.com/reportType/dc_cftc_c_report :return: 美国商品期货交易委员会CFTC外汇类非商业持仓报告 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

C2.9/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds useful scope context (historical coverage back to 1983) but does not disclose update cadence, publication lag, or fresh-data availability, which matters for a recurring macro report.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Reasonably compact, but the payload is diluted by a raw URL exposed in-line and a :return:/:rtype: docstring block that contradicts the stated subject. The commodity/forex conflict is not merely wasted space, it actively confuses the reader.

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?

With no output schema and no parameters, the description carries the burden of describing the returned DataFrame's shape and semantics. It only supplies :rtype: pandas.DataFrame and a contradictory subject line, leaving the agent unable to predict the report's fields or reconcile the commodity/forex discrepancy.

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 document; per the rubric a 0-parameter tool baselines at 4. No parameter-related information is missing.

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 identifies a specific resource (CFTC 商品类非商业持仓报告) and a data range (19830107-至今), which tells the agent what it fetches. However, it undercuts itself: the :return: line says 外汇类非商业持仓报告 (forex), directly contradicting the 商品类 (commodity) label in the title/name. This self-contradiction makes it hard to distinguish from siblings like macro_usa_cftc_nc_holding and macro_usa_cftc_merchant_currency_holding.

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?

No statement of when to use this tool versus the several closely related CFTC holding siblings (merchant_currency, merchant_goods, nc_holding, cme_merchant_goods). A URL is provided but no usage conditions or exclusions. The agent is left to infer selection criteria entirely.

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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