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kevynf

AKBridge MCP Server

by kevynf

macro_usa_api_crude_stock

Read-onlyIdempotent

Retrieve U.S. API crude oil inventory report data, including the current value in ten-thousand barrels, with historical records from March 28, 2012 to present.

Instructions

美国 API 原油库存报告,数据区间从 20120328-至今 https://datacenter.jin10.com/reportType/dc_usa_api_crude_stock https://cdn.jin10.com/dc/reports/dc_usa_api_crude_stock_all.js?v=1578743859 :return: 美国API原油库存报告-今值(万桶) :rtype: pandas.Series

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.5/5.0
Behavior4/5

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 adds genuinely useful behavioral context beyond that: the data window (20120328-present) and the meaning of the return value (current value in ten-thousand barrels), which is not in the annotations.

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?

The purpose is front-loaded correctly, but two raw URLs and docstring artifacts (:return:, :rtype:) are mixed into the prose, adding noise an agent does not need. It is adequately sized but not tight.

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?

With no input schema, no output schema and annotations covering the safety profile, the remaining burden is describing coverage and return shape. The description supplies the date range and the return type/units, which is largely sufficient, though the Series structure itself is only hinted at.

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 per the rubric the baseline is 4. The description does not need to explain arguments, and it adds the units and semantics of the returned current value instead.

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 names a specific resource, the US API crude oil inventory report, and states its temporal coverage (20120328-present), so an agent knows exactly what data it returns. It implicitly distinguishes itself from crude-related siblings like macro_usa_eia_crude_rate and macro_usa_crude_inner by the 'API' qualifier, but never explicitly differentiates them, capping it below 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?

The description offers no when-to-use guidance and no explicit alternatives among siblings. It implies the report is a data-retrieval endpoint via the range and return hints, but an agent gets no help choosing it over the many other crude/inventory tools.

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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