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jamesmurdza

Daytona Playwright MCP Server

by jamesmurdza

browser_select

Select options from dropdown menus in web browsers using CSS selectors, values, labels, or indices for automated testing and interaction.

Instructions

Select an option from a dropdown ( element).

Provide one of: value, label, or index.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
selectorYesCSS selector for the <select> element
valueNoValue attribute to select
labelNoVisible text label to select
indexNoIndex of option to select (0-based)
timeoutNoTimeout in milliseconds

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries full burden but provides minimal behavioral context. It mentions the three selection methods (value, label, index) but doesn't disclose important behaviors like whether it waits for page updates after selection, what happens if multiple options match, error conditions, or interaction with JavaScript-driven dropdowns. The description is functional but lacks operational transparency.

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 extremely concise with only two sentences that both earn their place. The first sentence states the core purpose, and the second provides essential parameter guidance. There's zero wasted text or redundancy.

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?

Given the tool's moderate complexity (dropdown interaction with multiple selection methods), no annotations, but 100% schema coverage and an output schema, the description is minimally adequate. It covers the basic purpose and parameter approach but lacks important behavioral context that would help an agent use it effectively in real scenarios. The output schema existence means return values don't need description, but operational guidance is sparse.

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%, so the schema already fully documents all 5 parameters. The description adds minimal value by mentioning the three selection methods (value, label, index) which correspond to parameters, but doesn't provide additional semantic context beyond what's in the schema descriptions. This meets the baseline for high schema coverage.

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 specific action ('Select an option from a dropdown') and identifies the target resource ('<select> element'). It distinguishes from sibling tools like browser_click or browser_type by focusing specifically on dropdown interaction, not general clicking or typing.

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 clear context for when to use this tool (for dropdown selection) but doesn't explicitly state when NOT to use it or mention alternatives. It implies usage for <select> elements but doesn't compare to other selection methods or sibling tools that might handle similar UI interactions.

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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