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get_setup

Read-only

The Setup tab of one platform: whether iOS, Android and web can send (ready), subscriber counts, and its settings: limits (marketingPerDay, quietHours, restAfterIgnored, defaultTimezone), the app's own occasions, the web prompt and welcome notification, firebaseProject and androidOffersChannel.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_setup"
  }
}

Input Schema

NameRequiredDescriptionDefault
appIdNoThe app to act on, from list_apps. Optional when the key belongs to one app.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered; the description's real contribution is disclosing what the response contains, including the meaning of the 'ready' flag and the named settings buckets. Since there is no output schema, this return-shape disclosure is meaningful context. It stops short of noting any permission requirements or account-scope behaviour.

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

Conciseness4/5

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

A single dense sentence that front-loads the resource and then the contents, with no filler or repetition. It is jargon-heavy in places (firebaseProject, androidOffersChannel) but every clause carries information.

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 zero-required-parameter read tool with no output schema, the description is largely self-sufficient: it lists the returned sections and even parenthesises the meanings of some fields. What is missing is how this configuration tool relates to sibling read tools and whether the settings are advisory versus enforced.

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% and the single appId parameter is fully documented in the schema, including the 'optional when the key belongs to one app' nuance. The description adds nothing beyond that, so the baseline 3 applies.

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 clearly identifies the resource as the read-only 'Setup tab' of one platform and enumerates its contents (readiness flags, subscriber counts, limits, occasions, web prompt, firebaseProject, androidOffersChannel), so an agent knows exactly what it gets. It never contrasts itself with near neighbours like get_account or get_context, so sibling differentiation is left to inference.

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 only implied: the phrase 'The Setup tab of one platform' suggests reading per-app configuration, and the schema note 'from list_apps' hints at the call sequence. There is no explicit when-to-use, when-not-to-use, or 'use X instead' guidance against siblings such as get_account or get_context.

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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