case_execution_panel
Run test cases by selecting one in the panel, submitting it, and viewing the backend execution results.
Instructions
用例执行台:选择用例 -> 提交 -> 后端工具执行 -> 展示结果。
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Run test cases by selecting one in the panel, submitting it, and viewing the backend execution results.
用例执行台:选择用例 -> 提交 -> 后端工具执行 -> 展示结果。
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden of behavioral disclosure. It does reveal that the tool triggers backend execution and displays results, which is useful context. However, it does not mention side effects, required prior UI state, or how results are surfaced beyond a vague 'display' statement.
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 one-sentence flow diagram is compact, front-loaded with the tool name and purpose, and contains no filler. The arrow-based notation is efficient, though slightly telegraphic.
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?
For a zero-parameter tool, the description is adequate but not fully complete. It conveys the core execution workflow and result display, but omits preconditions, expected UI context, and behavioral caveats. There is also no output schema to provide return-value details.
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 tool has zero parameters and the input schema is an empty object with full coverage, so the baseline is 4. The description's references to selecting and submitting a case describe the intended workflow rather than parameters, and no parameter explanation is necessary.
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 identifies the resource (用例/test cases) and the execution operation, and it outlines the expected outcome (展示结果). The flow 'select case -> submit -> backend tool executes -> display result' makes the tool's role reasonably clear, though it does not explicitly distinguish itself from sibling tools like test_case_table.
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 a workflow but no decision guidance. It does not state when to use this tool versus alternatives, what preconditions exist (e.g., a case must already be selected), or when not to use it. Sibling tools suggest related functionality, but the description offers no comparison or selection criteria.
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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