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export_session

End a recording session and package captured actions into JSON test assets and Shadcn-styled Excel test cases. Generates ready-to-use artifacts for automated testing.

Instructions

结束录制会话,一键打包生成高质量的测试资产 (JSON) 及极致精美的 Shadcn 风格 Excel 用例。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It mentions the primary action (ending the session) and outputs (JSON, Excel), but does not disclose whether the session is destroyed, if actions are reversible, permission requirements, or any side effects. This lack of behavioral detail is a notable gap for a tool that terminates an active state.

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?

The description is one concise, front-loaded sentence that immediately states the primary action and the key deliverables. Every word contributes to understanding the tool's purpose, with no redundant filler or repetition of schema details.

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?

The tool is simple with zero parameters and has an output schema, so the description need not detail return values. However, it does not mention that this is the final step in a recording workflow, nor does it warn about the potential destructiveness of ending the session. Given the available context, the description covers the essentials but lacks some operational context.

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

Parameters4/5

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

The tool has zero parameters, so the schema carries no meaning to add. According to the rubric, a 0-parameter tool baselines at 4, and the description does not need to explain parameters. The description adds value by describing the output artifacts, but this is separate from parameter semantics.

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 the tool ends the recording session and generates test assets in JSON and Excel formats. It uses specific verbs (end, package, generate) and identifies the resource (recording session, test assets), distinguishing it from sibling tools like start_recording or execute_and_record.

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 usage context is implied: it is the final step after recording to export results. However, there is no explicit guidance on when to use it over alternatives, no mention of prerequisites, and no exclusions. This aligns with an 'implied usage' level rather than clear guidelines.

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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