Skip to main content
Glama
verisoft-ai

windows2-mcp

by verisoft-ai

get_all_selected_items

Read-only

Gets all selected items from a multi-select UI container via UIA Selection pattern, returning their element IDs as a JSON array.

Instructions

Get all currently selected items in a multi-select container via the UIA Selection pattern. Returns a JSON array of element IDs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
elementIdYesElement ID returned by find_element
Behavior4/5

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

Beyond the readOnlyHint annotation, the description adds the UIA Selection pattern mechanism and that the return is a JSON array of element IDs. This informs the agent about underlying behavior and return structure.

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?

Two concise sentences – the first states the core action and resource, the second describes the return format. No wasted words and front-loaded.

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?

For a low-complexity tool (1 param, no output schema), the description adequately covers purpose, method (UIA Selection pattern), and return format. It does not elaborate on error conditions or multi-select container definition, but these are minor gaps.

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 coverage is 100% with clear parameter description ('Element ID returned by find_element'). The description adds no additional semantics beyond what the schema already provides.

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?

Description clearly states the verb (Get), the specific resource (all currently selected items in a multi-select container), and distinguishes from siblings like get_selected_item (singular) and select_item/add_to_selection.

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?

Context is explicit: the tool is for multi-select containers. It implies the usage scenario but does not provide explicit when-not-to-use or alternative tools, though the sibling list makes it inferable.

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/verisoft-ai/windows2-mcp'

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