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kevynf

AKBridge MCP Server

by kevynf

qhkc_tool_foreign

Read-onlyIdempotent

Retrieves real-time foreign market price comparisons for commodities. Provides base price, latest price, and rate change for metals, energy, and agricultural products from qhkch.com.

Instructions

奇货可查-工具-外盘比价 实时更新数据, 暂不能查询历史数据 :param url: str 网址 :return: 外盘比价 :rtype: pandas.DataFrame name base_time base_price latest_price rate 伦敦铜 10/08 01:00 5704 5746.5 0.745 伦敦锌 10/08 01:00 2291.25 2305.75 0.633 伦敦镍 10/08 01:00 17720 17372.5 -1.961 伦敦铝 10/08 01:00 1743.5 1742.75 -0.043 伦敦锡 10/07 15:00 16550 16290 -1.571 伦敦铅 10/08 01:00 2181.25 2177.5 -0.172 美原油1 10/08 02:30 52.81 53.05 0.454 美原油2 10/07 23:00 53.94 53.05 -1.65 布原油1 10/08 02:30 58.41 58.67 0.445 布原油2 10/07 23:00 59.54 58.67 -1.461 美燃油 10/07 23:00 1.9287 1.9102 -0.959 CMX金 10/08 02:30 1495.9 1496.5 0.04 CMX银 10/08 02:30 17.457 17.457 0 美豆 10/07 23:00 916.12 915.88 -0.026 美豆粕 10/07 23:00 302.75 302.65 -0.033 美豆油 10/07 23:00 30.02 29.91 -0.366 美玉米 10/07 23:00 386.38 387.88 0.388 美糖 10/07 23:30 12.37 12.53 1.293 美棉花 10/07 23:30 61.69 61.05 -1.037

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNohttps://qhkch.com/ajax/toolbox_foreign.php
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, covering the safety profile. The description adds valuable context: data is real-time and historical queries are unsupported, plus it illustrates the output schema with a concrete example. This goes beyond what annotations provide.

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 description is front-loaded with the title and key constraints, but the extensive example table with many rows makes it longer than necessary. A compact column description would suffice, though the sample data does help visualize the output.

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 simple read-only tool with one optional parameter and no output schema, the description provides the return type, example data, and a key constraint (real-time only, no history). This is adequate for basic usage, though it lacks error handling or details about the URL parameter's effect.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema defines one optional url parameter with a default but no description. The description includes ':param url: str 网址,' clarifying it's a URL string, but offers no further detail about acceptable values or when to override the default. Since schema description coverage is 0%, the description partially compensates but remains minimal.

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 clearly states the tool returns a '外盘比价' (foreign market price comparison) as a pandas DataFrame, with a sample showing columns and data. It also notes real-time data and no historical query capability, distinguishing it from historical data tools, though it doesn't explicitly name sibling alternatives.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description indicates the tool provides real-time data and cannot query historical data, offering context on when it's appropriate. However, it doesn't provide explicit alternatives or when-not-to-use guidance beyond the historical data limitation.

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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