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kevynf

AKBridge MCP Server

by kevynf

macro_usa_rig_count

Read-onlyIdempotent

Fetches weekly US oil and gas rig counts from Baker Hughes via AKShare, returning current-week data as a DataFrame for energy market analysis.

Instructions

贝克休斯钻井报告,数据区间从 20080317-至今 https://datacenter.jin10.com/reportType/dc_rig_count_summary :return: 贝克休斯钻井报告-当周 :rtype: pandas.DataFrame

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.2

TDQS

A3.6/5.0
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 safety is covered. The description adds genuinely new behavioral context: the data starts 20080317 and runs to the present, the upstream source URL, and the return type (pandas.DataFrame). Minor wrinkle: the :return: line says '当周' (current week) which sits awkwardly with the full historical range.

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 bare URL and docstring artifacts (:return:, :rtype:) add noise, but nothing is bloated or buried.

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 no-parameter, read-only historical data fetch with no output schema, the description supplies what is needed: what the data is, how far back it goes, and its return type. Only the update cadence of the weekly rig report and the meaning of the returned columns are left unstated.

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. Baseline 4 applies; the schema is empty and complete.

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 concrete resource (Baker Hughes / 贝克休斯钻井报告) and states its coverage window (20080317 to present), which is enough to distinguish it from the many other macro_usa_* indicator siblings. It never states a verb like 'fetch/retrieve', but the resource naming is specific enough that an agent can identify the tool.

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 statement of when to use this tool, no prerequisites, and no mention of alternatives among the sibling macro_usa_* series. The data-range note implies historical coverage but does not guide 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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