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validation_start

Start an end-to-end validation flow to test AI-generated code by specifying a target URL and test scenarios.

Instructions

Start an end-to-end validation flow. 启动端到端验证流程,按给定场景列表对目标 URL 执行多步验证。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetUrlYes目标验证页面URL
testScenariosYes测试场景列表
Behavior2/5

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

No annotations provided, so the description carries full burden. It does not disclose behavioral traits such as whether the flow is asynchronous, whether it modifies state, or what errors may occur. The description only states the action without side effects or guarantees.

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

Conciseness5/5

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

Two short sentences, including a Chinese translation for clarity. No wasted words; essential information is front-loaded.

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?

With no output schema and no annotations, the description covers the basic purpose and inputs. However, it omits what the tool returns (e.g., a flow ID or result) and whether it is synchronous or asynchronous, which is important for an action that 'starts' something.

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?

Schema coverage is 100% with Chinese descriptions that explain targetUrl and testScenarios adequately. The description adds context of 'end-to-end validation flow' but does not enrich parameter semantics beyond what the schema already provides.

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

Purpose5/5

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

The description clearly states it starts an end-to-end validation flow, specifying it performs multi-step verification against a target URL using a given list of scenarios. This differentiates it from sibling tools like validation_check or validation_flow, which likely serve different roles.

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?

No guidance on when to use this tool versus alternatives like validation_chain or validation_flow. The description lacks context about prerequisites, post-conditions, or comparison with other validation tools in the sibling list.

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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