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kevynf

AKBridge MCP Server

by kevynf

qhkc_tool_gdp

Read-onlyIdempotent

Retrieve current economic data for countries worldwide, including GDP, GDP YoY, GDP QoQ, budget, debt, current account, and population. Real-time updates; no historical data available.

Instructions

奇货可查-工具-各地区经济数据 实时更新数据, 暂不能查询历史数据 :param url: :return: pandas.DataFrame 国家 国内生产总值 国内生产总值YoY 国内生产总值QoQ ... 预算 债务 经常账户 人口 美国 20494 2.30% 2.00% ... -3.80% 106.10% -2.40 327.17 欧元区 13670 1.20% 0.20% ... -0.50% 85.10% 2.90 341.15 中国 13608 6.20% 1.60% ... -4.20% 50.50% 0.40 1395.38 日本 4971 1.00% 0.30% ... -3.80% 238.20% 3.50 126.25 德国 3997 0.40% -0.10% ... 1.70% 60.90% 7.30 82.85 英国 2825 1.30% -0.20% ... -2.00% 84.70% -3.90 66.19 法国 2778 1.40% 0.30% ... -2.50% 98.40% -0.30 67.19 印度 2726 5.00% 1.00% ... -3.42% 68.30% -2.30 1298.04 意大利 2074 -0.10% 0.00% ... -2.10% 134.80% 2.50 60.48 巴西 1869 1.00% 0.40% ... -7.10% 77.22% -0.77 208.49 加拿大 1709 1.60% 0.90% ... -0.70% 90.60% -2.60 37.31 俄罗斯 1658 0.90% 0.20% ... 2.70% 13.50% 7.00 146.90 韩国 1619 2.00% 1.00% ... -1.60% 36.60% 4.70 51.61 澳大利亚 1432 1.40% 0.50% ... -0.60% 40.70% -1.50 25.18 西班牙 1426 2.00% 0.40% ... -2.50% 97.10% 0.90 46.66 墨西哥 1224 -0.80% 0.00% ... -2.00% 46.00% -1.80 125.33 印尼 1042 5.05% 4.20% ... -1.76% 29.80% -3.00 264.20 荷兰 913 1.80% 0.40% ... 1.50% 52.40% 10.80 17.12 沙特阿拉伯 782 0.50% 0.00% ... -9.20% 19.10% 9.20 33.41 土耳其 767 -1.50% 1.20% ... -2.00% 30.40% -3.50 82.00 瑞士 706 0.20% 0.30% ... 1.30% 27.70% 10.20 8.48 台湾 589 2.40% 0.67% ... -1.90% 30.90% 11.60 23.58 波兰 586 4.50% 0.80% ... -0.40% 48.90% -0.70 37.98 瑞典 551 1.00% 0.10% ... 0.90% 38.80% 2.00 10.12 比利时 532 1.20% 0.20% ... -0.70% 102.00% -1.30 11.41 阿根廷 519 0.60% -0.30% ... -5.50% 86.20% -5.40 44.50 泰国 505 2.30% 0.60% ... -2.50% 41.80% 7.50 66.41 委内瑞拉 482 -22.50% -5.40% ... -20.00% 23.00% 6.00 31.83 奥地利 456 1.50% 0.30% ... 0.10% 73.80% 2.30 8.82 伊朗 454 1.80% NaN ... -3.90% 44.20% 1.30 82.10 挪威 435 -0.70% 0.30% ... 7.30% 36.30% 8.10 5.30 阿联酋 414 2.20% 1.70% ... -1.80% 18.60% 9.10 9.60 尼日利亚 397 1.94% 2.85% ... -2.80% 18.20% 2.30 195.87 爱尔兰 376 5.80% 0.70% ... 0.00% 64.80% 9.10 4.84 以色列 370 3.20% 0.30% ... -1.90% 61.00% 1.90 8.97 南非 366 0.90% 3.10% ... -4.40% 55.80% -3.60 58.78 新加坡 364 0.10% -3.30% ... 0.40% 112.20% 17.70 5.64 香港 363 0.50% -0.40% ... 2.10% 38.40% 4.30 7.48 马来西亚 354 4.90% 1.00% ... -3.70% 51.80% 2.30 32.40 丹麦 351 2.60% 0.90% ... 0.50% 34.10% 6.10 5.78 菲律宾 331 5.50% 1.40% ... -3.20% 41.90% -2.40 107.00 哥伦比亚 330 3.00% 1.40% ... -3.10% 50.50% -3.80 49.83 巴基斯坦 313 5.20% 5.79% ... -6.60% 72.50% -4.80 212.22 智利 298 1.90% 0.80% ... -1.70% 25.60% -3.10 18.75 芬兰 276 1.20% 0.50% ... -0.70% 58.90% -1.90 5.51 孟加拉国 274 7.90% 7.90% ... -4.80% 27.90% -3.60 163.70 埃及 251 5.70% 5.40% ... -8.20% 90.50% -2.40 98.00 越南 245 7.31% 6.88% ... -3.50% 57.50% 3.00 94.67 捷克共和国 244 2.70% 0.70% ... 0.90% 32.70% 0.30 10.61

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlNohttps://qhkch.com/dist/views/toolbox/gdp.html?v=1.10.7.1
Behavior4/5

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

Annotations already cover safety (readOnlyHint=true, destructiveHint=false, idempotentHint=true), so the description adds value by disclosing that data is real-time updated and cannot be queried for history. The sample DataFrame also reveals the return format, including possible NaN values (e.g., Iran's QoQ), which is useful behavioral context. No contradiction with annotations.

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

Conciseness2/5

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

The initial lines are concise and front-loaded with the key facts (real-time, no historical), but the description is dominated by a large 50-row sample table. This is excessive for a tool description; a simple list of column names would suffice. The structure is front-loaded but overall not concise due to the data dump.

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

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one optional parameter and rich annotations, the description covers the core behavior: real-time data, no historical support, and a DataFrame of economic indicators across countries. However, it omits details like GDP units, the purpose of the URL parameter, and the data source name. It is adequate but has clear gaps.

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

Parameters2/5

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

The input schema has one optional `url` parameter with a default value and zero description coverage (context signals confirm 0%). The description only includes ':param url:' without any explanation of what the URL is for or when to override it. With schema coverage at 0%, the description fails to compensate for the missing parameter semantics.

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 identifies the tool as '奇货可查-工具-各地区经济数据' (QHKC Tool - Regional Economic Data) and includes a sample DataFrame with country names and economic indicators, making it evident that the tool retrieves current economic data across countries/regions. The verb is implicit rather than explicit, but the title and sample output remove ambiguity. It is distinguishable from siblings like macro_china_gdp by its cross-country regional focus.

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 states '实时更新数据, 暂不能查询历史数据', which effectively tells the agent this tool is for current real-time data and not for historical queries, serving as a when-not-to-use note. However, there is no explicit guidance on when to use this tool versus alternatives, nor any mention of alternative tools. Usage context is implied by the sample data and the 'real-time' note.

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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