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zen_find

Locate elements on a web page by describing them in natural language, such as 'login button' or 'search bar'.

Instructions

Find elements on the page using natural language description.

Args: query: What to find (e.g. "login button", "search bar", "email input") tab_id: Optional tab to target. Defaults to active tab.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
tab_idNo
Behavior3/5

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

No annotations are provided, so the description must disclose behavior. It states that the tool uses natural language to find elements but does not clarify what is returned (e.g., element handles, count) or whether it is a read-only operation. The description partially covers behavior but lacks important details.

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 concise: two sentences plus an argument list. It is front-loaded with the purpose and avoids unnecessary words. Every sentence adds value.

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

Completeness2/5

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

Despite having only two parameters and no output schema, the description fails to clarify what the tool returns (e.g., element identifiers, success status). The output is crucial for an element-finding tool, and missing this information leaves the agent uncertain.

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 description coverage is 0%, so the description compensates well. It explains the 'query' parameter with examples and specifies the optional 'tab_id' with default behavior. This adds meaningful context beyond the raw schema.

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's purpose: 'Find elements on the page using natural language description.' This distinguishes it from sibling tools like zen_click or zen_hover, which act on elements rather than locating them.

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

Usage Guidelines4/5

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

The description provides explicit usage context with examples for the 'query' parameter and mentions optional tab_id. However, it does not offer guidance on when to avoid this tool or suggest alternatives like zen_query or zen_explain_selector.

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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