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Verify Python environment health by running a no-argument Hello World script that outputs a welcome message.
Instructions
简单的 Hello World 测试脚本。输出欢迎信息,用于验证 Python 环境是否正常工作。无需参数。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| args | No |
Verify Python environment health by running a no-argument Hello World script that outputs a welcome message.
简单的 Hello World 测试脚本。输出欢迎信息,用于验证 Python 环境是否正常工作。无需参数。
| Name | Required | Description | Default |
|---|---|---|---|
| args | No |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description must carry the full transparency burden. It states the tool outputs a welcome message, which is a behavior, but it does not disclose whether there are any side effects, the nature of the output (e.g., stdout only), or how the optional 'args' parameter affects behavior. The phrase '无需参数' (no parameters needed) could also mislead about the existence of the args field in the schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise: two short sentences totaling about 40 characters. Every sentence contributes either to purpose or usage context, with no redundancies.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (a Hello World test, no output schema, one optional parameter), the description is mostly adequate. However, it fails to document the optional 'args' parameter's purpose and does not specify the exact format of the output, though these are minor gaps for such a trivial tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The schema has 0% description coverage, so the description must compensate. It adds the useful directive that no parameters are needed, which clarifies that the 'args' parameter is optional and can be omitted. However, it does not explain what the 'args' parameter does if provided, leaving a semantic gap for an optional parameter.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly identifies the tool as a Hello World test script that outputs a welcome message, distinguishing it from the converter siblings (xlsx_to_txt, python_to_txt, etc.). It has a specific verb ('outputs') and resource ('welcome message').
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context: 'used to verify Python environment works properly.' This implies when to use the tool, but it does not explicitly mention when not to use it or reference alternatives, so it misses the full 'when/when-not' guidance.
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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