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Get the app setup

get_app_setup
Read-onlyIdempotent

How an app is set up so these components work and follow its theme, one topic at a time: the app-root providers in the order that works, the theme hooks and token scales, or the rules that hold across the whole catalog. An app built by emit_app already has all three wired.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
platformNorules only

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and closed-world, so the safety profile is fully covered and the description need not repeat it. It adds only that results are scoped per topic and are conceptual guidance rather than live state. No error, pagination, or freshness behavior is disclosed.

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 single sentence opens with the fragment 'How an app is set up so these components work and follow its theme, one topic at a time:', which is not a clause and delays the actionable content. The enumerated topics arrive only after a heavy preamble, so the definition is not front-loaded and reads awkwardly.

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?

With no output schema, the description carries the burden of describing return content, and it does so for all three topics. The emit_app note gives useful context about when the setup is already wired. Only the platform-scoping behavior for 'rules' is undocumented.

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

Parameters4/5

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

Schema coverage is only 50%, so the description must compensate — and it does for the required 'topic' parameter by explaining what each of the three enum values yields (providers/theme/rules). The optional 'platform' parameter's 'rules only' constraint is left entirely to the schema, which is the remaining gap.

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 names the resource (app setup guidance) and enumerates the three concrete outputs — app-root providers in working order, theme hooks and token scales, or catalog-wide rules — so an agent knows what each topic returns. The verb is buried ('How an app is set up...'), but the content is specific enough to separate it from siblings like get_component or find_component. It stops short of explicitly contrasting with those siblings.

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

Usage Guidelines3/5

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

Usage is implied rather than stated: 'one topic at a time' and the enum values tell the agent how to call it, and 'An app built by emit_app already has all three wired' hints that the tool may be redundant after emit_app. There is no explicit when-to-use/when-not rule or named alternative for looking up component details, so guidance stays inferential.

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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