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System Gui Choose Popup Value

system_gui_choose_popup_value

Choose a value from a macOS popup menu by supplying the menu label and desired option, automating GUI dropdown selections across Apple apps and system tools.

Instructions

Delegated Apple domain tool 'system_gui_choose_popup_value' exposed through Apple-Tools-MCP.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
labelYes
valueYes
bundle_idNo
applicationNo
descriptionNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.4

TDQS

D1.3/5.0
Behavior1/5

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

Annotations carry only openWorldHint/false, idempotentHint/false, and destructiveHint/false, with no readOnlyHint. The description adds no behavioral context: it does not say whether the action is a read or mutation, whether it requires accessibility permissions, whether it affects the frontmost application, or what side effects selecting a popup value may have. It also does not clarify how the tool interacts with the system GUI.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short, but it is short because it is vacuous, not because it is efficiently informative. It spends its only sentence on a generic 'delegated ... exposed through MCP' wrapper that could apply to any tool, adding no value while taking up space.

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

Completeness1/5

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

For a GUI automation tool with five parameters and meaningful behavioral nuances, the description is severely incomplete. Even though an output schema exists, the description fails to explain what popup selection means, how the required 'label' and 'value' parameters are resolved, what permissions are needed, or how this compares to related system_gui_* tools. The agent is not equipped to invoke it correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description carries full responsability to explain the five parameters. It explains none of them: label, value, bundle_id, application, and description are undocumented beyond their schema names and types. The relationship between label and value, and when the nullable fields are needed, is left entirely to guessing.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description only says 'Delegated Apple domain tool system_gui_choose_popup_value exposed through Apple-Tools-MCP,' which simply restates the tool name in a wrapper phrase. It does not state the action, resource, or that this tool selects a value from a system GUI popup. There is no differentiation from sibling GUI tools such as system_gui_click_button or system_gui_type_text.

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 usage guidance whatsoever. It does not mention when to use this tool, when not to use it, or how it compares to sibling GUI automation tools. An agent must infer everything from the name and parameters.

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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