Skip to main content
Glama

midscene_aiKeyboardPress

Press keyboard keys during automated web testing with AI-powered element targeting for precise interaction simulation.

Instructions

Presses a specific key on the keyboard.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keyYesThe web key to press, e.g. 'Enter', 'Tab', 'Escape', etc.
locateNoOptional: natural language description of the element to press the key on
deepThinkNoIf true, uses a two-step AI call to precisely locate the element
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 of behavioral disclosure. It states the action ('presses') but doesn't clarify if this simulates a physical key press, triggers browser events, requires focus on an element, or has side effects like page navigation. For a tool with potential UI interactions, this is a significant gap in 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 a single, clear sentence with zero wasted words. It's front-loaded with the core action, making it easy to parse quickly. Every word earns its place by directly conveying the tool's purpose.

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 the complexity of a keyboard interaction tool with no annotations and no output schema, the description is insufficient. It doesn't explain return values, error conditions, or behavioral nuances like whether key presses are simulated in a browser context. For a tool that could affect UI state, more context is needed to ensure safe and effective use.

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 documents all three parameters thoroughly. The description adds no additional meaning beyond what's in the schema, such as examples of key combinations or clarification on how 'locate' and 'deepThink' interact. Baseline 3 is appropriate when 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 action ('presses') and resource ('a specific key on the keyboard'), making the purpose immediately understandable. However, it doesn't explicitly differentiate from sibling tools like 'midscene_aiTap' or 'midscene_aiInput', which might have overlapping keyboard-related functionality.

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?

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'midscene_aiInput' (likely for text input) and 'midscene_aiTap' (likely for clicking), there's no indication of whether this tool is for navigation keys, modifier keys, or general key presses, leaving usage context ambiguous.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/MauroCor/mcp-midscene'

If you have feedback or need assistance with the MCP directory API, please join our Discord server