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aliyun
by aliyun

TestDataServiceApi

Execute test requests to DataWorks APIs by configuring path, query, header, and body parameters to validate API functionality and data flow.

Instructions

测试数据服务API

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ApiIdNoAPIId
BodyContentNo请求body数据
BodyParamsNo放在请求Body的参数信息
PathParamsNo放在Path里面的请求参数
QueryParamNo放在Query里面的请求参数
HeadParamsNo放在Header里面的请求参数
Behavior1/5

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

With no annotations provided, the description carries full burden for behavioral disclosure but offers none. It doesn't indicate whether this tool performs read or write operations, what permissions are required, whether it's destructive, what rate limits apply, or what the expected behavior is. The vague description fails to provide any behavioral context beyond the name.

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?

While technically concise with just one phrase, this is a case of under-specification rather than effective conciseness. The single Chinese phrase doesn't earn its place by providing meaningful information. It's front-loaded with essentially no content, failing to communicate purpose or usage.

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

Completeness1/5

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

For a tool with 6 parameters, no annotations, and no output schema, the description is completely inadequate. It provides no information about what the tool does, when to use it, what behavior to expect, or what results it returns. The description fails to compensate for the lack of structured metadata, leaving the agent with insufficient context.

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 description coverage is 100%, so all 6 parameters are documented in the schema itself. The description adds no additional meaning about parameters beyond what's already in the structured schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no parameter information in the description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description '测试数据服务API' is a tautology that merely restates the tool name 'TestDataServiceApi' in Chinese. It provides no specific verb or resource information, fails to distinguish from sibling tools like 'CreateDataServiceApi' or 'GetDataServiceApi', and offers no clarity about what this tool actually does.

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

Usage Guidelines1/5

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

The description provides absolutely no guidance about when to use this tool versus alternatives. With many sibling tools like 'CreateDataServiceApi', 'GetDataServiceApi', 'UpdateDataServiceApi', and 'DeleteDataServiceApi', there's no indication whether this is for testing, executing, or managing APIs. No context, exclusions, or alternatives are mentioned.

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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