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Get install snippet

get_install_snippet
Read-only

Return what to install for a LexVibe app id. For web: the one-line snippet (cookie banner with real script blocking + hosted policy links) to paste before , plus a JSX variant for React/Next.js layouts. For iOS/Android: the hosted privacy-policy URL and the exact App Store Connect / Google Play Console fields to paste it into. No app id yet? Call claim_app to create one in the user's account.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
appIdYesLexVibe app id from the dashboard.
accentNoOptional brand color for the banner, as a hex value like #4f46e5.
platformNoTarget platform. Defaults to web.web

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful behavioral context beyond annotations: the output varies by platform, includes a JSX variant for React/Next.js, and specifies exact placement contexts (before </head>, App Store Connect/Google Play Console fields). No contradiction with 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 compact: two sentences with no filler. It front-loads the core purpose and then efficiently covers web, iOS/Android, and the no-app-id case, earning its place for each clause.

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?

For a read-only tool with no output schema, the description covers all necessary use cases: web script snippet with JSX variant, iOS/Android hosted policy URL and exact store fields, and the prerequisite of an app id with a clear fallback to claim_app. This is sufficiently complete for an agent to select and invoke the tool correctly.

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%—all three parameters have clear descriptions. The tool description adds some context around platform-specific output but does not add parameter-level meaning beyond the schema. Since the schema already documents appId, accent, and platform thoroughly, the baseline score of 3 is appropriate.

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 uses the specific verb 'Return' and clearly identifies the resource ('what to install for a LexVibe app id'), then enumerates platform-specific outputs. It distinguishes itself from sibling tools like claim_app (create an app) and generate_policies (generate policies), so the agent knows this is about retrieving an install snippet.

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?

Explicitly names the alternative: 'No app id yet? Call claim_app to create one in the user's account.' It also clarifies that web returns a script snippet and iOS/Android return policy URLs and store fields, giving the agent clear context on when this tool is appropriate and what to use instead when precondition not met.

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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TDQS

A4.5/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose: check_ai_act classifies AI risk, check_store and check_website audit different platform listings, claim_app creates an app, generate_policies drafts legal docs, get_claim_status tracks claim confirmation, and get_install_snippet provides installation code. No two tools overlap in function.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case (e.g., check_ai_act, claim_app, generate_policies). The naming is predictable and easy to understand.

Tool Count5/5

Seven tools is a well-scoped set for the server's purpose: three for compliance checks, one for app creation, one for policy generation, one for status tracking, and one for installation snippets. Each tool earns its place without being excessive.

Completeness4/5

The tool surface covers the primary workflows: checking compliance, creating an app, generating policies, and installation. A minor gap is the lack of update/delete tools for apps, but the core lifecycle is covered. Agents can successfully complete the intended tasks.