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scout_act

Execute browser actions: input text, scroll, click, and select options. Chain multiple steps for automated web page interaction.

Instructions

Execute actions on the page: input, scroll, click, or select.

Two modes:

  1. Single step: scout_act("scroll", "bottom") scout_act("input", "python教程", target="搜索") scout_act("click", target="下一页") scout_act("select", "最多播放", target="综合排序")

  2. Chain: scout_act(actions=[ {"action": "input", "value": "python教程", "target": "搜索"}, {"action": "scroll", "value": "bottom"}, {"action": "click", "target": "最多播放"}, ])

Each step reports new API method + path inline so AI sees them immediately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
valueNoText input or scroll target (bottom/top/down/up/px).
actionNo"input", "scroll", "click", or "select" (single mode).
targetNoVisible text of the target element.
actionsNoList of action dicts for chain mode.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the burden. It discloses that each step reports new API method and path inline, but does not detail side effects like page navigation or state changes.

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

Conciseness3/5

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

The description is moderately sized but includes verbose examples. The core purpose is front-loaded, but the examples could be more compact.

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

Completeness4/5

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

Given the tool's complexity (4 parameters, no required, with output schema), the description adequately covers both usage modes and the chain pattern. Output schema exists so return values need not be described.

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?

Schema coverage is 100%, so the schema already documents parameters. The description adds value by showing parameter relationships across modes (e.g., 'value' varies by action) and providing concrete usage examples.

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

Purpose4/5

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

The description clearly states the tool executes actions (input, scroll, click, select) and provides examples. It distinguishes from siblings by focusing on interactive page actions, though it does not explicitly compare to other tools.

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 description explains two modes (single step and chain) with examples, implying when to use each. However, it lacks explicit guidance on when not to use the tool or alternatives among siblings.

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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