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Install an App Store app

install_from_app_store
Idempotent

Install or update a ready-made app from the App Store, then populate it with the user's real data so it's fully functional.

Instructions

Install (or update) a ready-made app from the built-in App Store into the user's registry. Once installed it behaves like any app of the user's own; its UI updates come from the App Store (newer store version), not from edits. Use app_store_list to see what's available. Installing is HALF the job: before handing it over, seed the collection with the user's real rows (data_batch, from what you already know of them) — an installed app opened empty and generic is half-delivered.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesApp Store entry name (see app_store_list)
command_idNoidempotency key (uuid); auto-generated if omitted

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
tierYes
updatedNo
versionYes
Behavior5/5

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

Beyond the annotations (idempotent, non-destructive), the description reveals that installed apps rely on the store for UI updates and that seeding data via data_batch is critical to avoid a half-delivered app. This is important behavioral context not present in annotations.

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 concise and front-loaded with the core purpose, followed by usage and a high-value workflow warning. Every sentence earns its place with no fluff.

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

Completeness5/5

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

Given the tool's simplicity (2 parameters, output schema present) and good annotations, the description covers purpose, usage, and behavioral expectations comprehensively. No significant gaps remain.

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?

The input schema already fully documents both parameters (name and command_id), so the description adds no new parameter-level meaning. The mention of app_store_list for the name parameter is already captured in the schema's description.

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 tool installs or updates a ready-made app from the built-in App Store into the user's registry. It uses specific verbs and resources, and distinguishes from siblings by mentioning app_store_list and contrasting with edits.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It instructs to use app_store_list to see what is available, and notes that UI updates come from the App Store rather than edits, implying this tool is for installing/updating store apps instead of editing them. This provides clear when-to-use and when-not-to-use guidance.

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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