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find-elements-by-text

Locate mobile app elements by searching for specific text content, enabling targeted automation of UI components during testing.

Instructions

Find all elements containing specific text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesText to search for
Behavior2/5

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

No annotations are provided, so the description carries full burden. It mentions 'find all elements' but doesn't disclose behavioral traits like whether it returns a list, handles partial matches, requires UI visibility, has performance implications, or what happens if no elements are found. This is inadequate for a tool with no annotation coverage.

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 a single, efficient sentence with zero waste. It's front-loaded and appropriately sized for a simple tool, making it easy to parse quickly.

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?

Given no annotations, no output schema, and a simple parameter, the description is incomplete. It doesn't explain return values, error conditions, or behavioral context, leaving significant gaps for an AI agent to understand how to use the tool effectively.

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 description coverage is 100%, with the parameter 'text' fully documented in the schema. The description adds no additional meaning beyond what the schema provides, such as text matching rules or examples. Baseline 3 is appropriate since the schema does the heavy lifting.

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 verb ('find') and resource ('elements'), specifying the search criterion ('containing specific text'). It distinguishes from some siblings like 'find-by-text' by emphasizing 'all elements' rather than a single match, but doesn't explicitly differentiate from similar tools in the list.

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 is provided on when to use this tool versus alternatives like 'find-by-text', 'has-text-in-screen', or 'element-exists'. The description lacks context about prerequisites, timing, or comparison with sibling tools.

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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