MCP Server Awtrix (mcp-server-awtrix) — это сервер Model Context Protocol (MCP) с открытым исходным кодом и декларативный оркестратор метрик, предназначенный для предоставления AI-агентам (Antigravity, Claude Desktop, Cursor, Cline, AutoGPT и др.) полного контроля над Ulanzi TC001 и совместимыми пиксельными матричными умными часами, работающими на Awtrix Light.
Он соединяет разговорных и автономных AI-агентов с физическими настольными дисплеями, обеспечивая:
Мгновенные оповещения агентов: Отправка ad-hoc статусных оповещений, уведомлений о сбоях сборки и завершении задач на пиксельный экран.
Динамические карусельные приложения: Регистрация, обновление и циклическое переключение пользовательских приложений телеметрии в реальном времени (здоровье сервера, метрики SaaS, счётчики выручки, статус сборки).
Декларативный опрос метрик: Автоматизация фонового получения API и форматирования пороговых значений с помощью YAML-спецификаций без написания специализированных Python-скриптов.
Телеметрия и управление оборудованием: Проверка уровня заряда батареи, регулировка яркости матрицы, управление состояниями питания и запуск пользовательских звуковых сигналов.
Related MCP server: pixoo-mcp-server
Разработчики и продвинутые пользователи умных пиксельных часов (например, Ulanzi TC001 с Awtrix Light) в настоящее время пишут разрозненные, жёстко закодированные Python- или Bash-скрипты cron для запросов к внешним API и обновления матричных приложений.
При работе с AI-агентами кодирования:
Агенты должны генерировать и поддерживать сырой императивный код для каждой метрики.
Нет стандартизированного набора инструментов для отправки уведомлений в реальном времени или управления жизненным циклом дисплея.
Управление секретами подвержено ошибкам, что приводит к утечкам ключей API в промптах и журналах AI.
Нет встроенного резервного механизма или проверки для многосегментного форматирования текста и пиксельных иконок.
Нативный MCP-интерфейс: Предоставить стандартный сервер Model Context Protocol с надёжными инструментами для уведомлений, пользовательских приложений, управления устройствами и предпросмотра.
Декларативная телеметрия: Позволить агентам и людям определять правила опроса метрик в простых YAML-файлах со встроенными шаблонами (Jinja2) и стилизацией пороговых значений.
Изоляция секретов: Отделить чувствительные учётные данные от контекста промпта с помощью подстановки переменных окружения .env.
Горячая перезагрузка без простоев: Автоматически отражать изменения в YAML-конфигурационных файлах без перезапуска сервиса.
Надёжные резервные механизмы: Корректно обрабатывать сетевые сбои, ограничения скорости API и офлайн-состояния дисплея.
Замена прошивки Awtrix Light (этот инструмент взаимодействует исключительно с официальным REST/MQTT API Awtrix Light).
Сложная синхронизация тайлов на нескольких мониторах (фокус на одиночных или мультиинстансных автономных пиксельных часах).
Персона | Сценарий | Как помогает MCP Server Awtrix |
AI-агент кодирования (например, Antigravity / Cursor) | Агент завершает 10-минутный набор тестов или автономную задачу в фоне. | Вызывает инструмент |
DevOps / SRE-инженер | Хочет отслеживать производственный аптайм, бюджеты ошибок или синтетические тесты Checkly. | Размещает декларативную спецификацию |
Основатель / строитель SaaS | Хочет видеть на столе счётчики MRR в реальном времени, новых регистраций и тикетов поддержки. | Определяет декларативное мультиметрическое приложение, запрашивающее бэкенд-админ-эндпоинты. |
FR-1: Мгновенные уведомления (/api/notify):
Поддержка пользовательского текста, многосегментного цветного текста, ID иконки, звуковых/RTTTL-мелодий, приоритетного удержания и длительности.
FR-2: Пользовательские карусельные приложения (/api/custom):
Возможность регистрировать, обновлять и удалять именованные приложения из цикла отображения.
Поддержка форматирования сегментов rich text ([{"t": "FAIL", "c": "FF0000"}, {"t": " (2/10)", "c": "FFFFFF"}]).
FR-3: Декларативный фоновый движок:
Встроенный планировщик (asyncio / apscheduler), выполняющий задания опроса, определённые в apps/*.yaml.
Шаблонный движок, поддерживающий вычисляемые переменные, арифметику и условные выражения.
FR-4: Состояние устройства и телеметрия:
Запрос процента заряда батареи, RSSI Wi-Fi, датчика освещённости, состояния матрицы и активных приложений.
Регулировка яркости, статуса сна/пробуждения и переходов.
FR-5: Пробный запуск и симуляция:
Инструмент предпросмотра, возвращающий точные отрендеренные JSON-полезные нагрузки и проверки цветов перед отправкой на оборудование.
Задержка: Прямые выполнения MCP-инструментов должны отправляться на Awtrix в течение $< 150\text{мс}$ в локальных сетях.
Устойчивость: Оркестратор повторяет неудачные запросы API с экспоненциальной задержкой, прежде чем пометить приложение как деградировавшее.
Переносимость: Упакован как стандартный Python-пакет с поддержкой uv/pipx, Docker-контейнер и автономный CLI.
┌──────────────────────────┐
│ AI Client/Host │
│ (Claude / Antigravity / │
│ Cursor / Cline) │
└────────────┬─────────────┘
│
│ stdio / SSE (MCP Protocol)
▼
┌────────────────────────────────────────────────────────────────────────────────────────┐
│ mcp-server-awtrix │
│ │
│ ┌───────────────────────┐ ┌──────────────────────────────┐ ┌───────────────────┐ │
│ │ MCP Interface │ │ App Orchestrator │ │ Config Watcher │ │
│ │ (Tools / Resources) │ │ (Async Scheduler) │ │ (Hot-Reload) │ │
│ └───────────┬───────────┘ └──────────────┬───────────────┘ └─────────┬─────────┘ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌──────────────────────────────────────────────────────────────────────────────────┐ │
│ │ Core Engine & Driver │ │
│ │ - Schema Validator (Pydantic) │ │
│ │ - Template & Expression Engine (Jinja2 / JSONPath) │ │
│ │ - Secret Resolver (.env) │ │
│ │ - Awtrix REST / WebSocket Client │ │
│ └──────────────────────────────────────────┬───────────────────────────────────────┘ │
└─────────────────────────────────────────────┼──────────────────────────────────────────┘
│
│ HTTP REST (JSON)
▼
┌──────────────────────────┐
│ Ulanzi TC001 Clock │
│ (Awtrix Light Firmware)│
└──────────────────────────┘Слой MCP-интерфейса:
Реализует конечные точки сервера Model Context Protocol через stdio и SSE.
Предоставляет инструменты со строгими JSON-схемами и человекочитаемой документацией для AI-моделей.
Декларативный движок опроса:
Асинхронный воркер, управляющий жизненным циклом задач для файловых манифестов приложений.
Выполняет HTTP-запросы, извлекает поля с помощью JSONPath/выражений и разрешает правила отображения.
Драйвер Awtrix:
Инкапсулирует связь с устройством, дедупликацию запросов, пул соединений и восстановление после ошибок.
Слой конфигурации и безопасности:
Изолирует чувствительные токены в .env. Конфигурационные файлы ссылаются на переменные через синтаксис ${VAR_NAME}.
AI-агенты могут выполнять следующие MCP-инструменты:
awtrix_notifyОтправляет немедленное уведомление с высоким приоритетом на экран (прерывает текущую карусель).
{
"text": "Build Failed: Backend API",
"icon": "10558",
"color": "FF0000",
"duration": 8,
"sound": "alarm",
"rtttl": "beep:d=4,o=5,b=100:16e6,16e6",
"wakeup": true
}awtrix_upsert_appРегистрирует или обновляет постоянное пользовательское приложение в цикле карусели.
{
"name": "app_users",
"text": [
{"t": "1,420", "c": "FFFFFF"},
{"t": " (+42)", "c": "00FF00"}
],
"icon": "2058",
"duration": 5,
"lifetime": 300
}awtrix_delete_appУдаляет пользовательское приложение из цикла устройства.
{
"name": "app_users"
}awtrix_get_device_stateВозвращает статистику оборудования и текущие операционные метрики.
Ответ:
{
"online": true,
"battery": 88,
"charging": true,
"lux": 140,
"temp": 24,
"ram_free": 128440,
"active_app": "app_users",
"brightness": 120
}awtrix_set_settingsНастраивает параметры устройства, такие как яркость, переключение матрицы и скорость переходов.
{
"brightness": 80,
"power": true
}awtrix_test_renderВспомогательный инструмент пробного запуска, который анализирует выражения и возвращает отрендеренную полезную нагрузку без отправки на оборудование.
Вместо поддержки пользовательских Python-скриптов размещайте манифесты .yaml в каталоге apps/.
apps/checkly.yaml
app_id: "checkly"
name: "checkly_status"
enabled: true
interval_seconds: 60
source:
type: "http"
url: "https://api.checklyhq.com/v1/checks"
headers:
Authorization: "Bearer ${CHECKLY_API_KEY}"
X-Checkly-Account: "${CHECKLY_ACCOUNT_ID}"
transform:
total: "len(data)"
failures: "sum(1 for c in data if c.get('hasFailures'))"
degraded: "sum(1 for c in data if c.get('isDegraded') and not c.get('hasFailures'))"
display:
- condition: "failures > 0"
icon: "10558"
notify: true
text:
- { text: "FAIL ", color: "FF0000" }
- { text: "({{failures}}/{{total}})", color: "FFFFFF" }
- condition: "degraded > 0"
icon: "10558"
text:
- { text: "WARN ", color: "FFA500" }
- { text: "({{degraded}}/{{total}})", color: "FFFFFF" }
- condition: "default"
icon: "483"
text:
- { text: "UP ", color: "00FF00" }
- { text: "({{total}})", color: "FFFFFF" }apps/saas_metrics.yaml
app_id: "saas_metrics"
interval_seconds: 120
source:
type: "http"
url: "https://api.example.com/v1/admin/metrics"
headers:
X-API-Secret: "${SAAS_METRICS_API_SECRET}"
sub_apps:
- name: "app_users"
icon: "2058"
text:
- { text: "{{data.users_total}}", color: "FFFFFF" }
- { text: " (+{{data.new_users_last_week}})", color: "00FF00" }
- name: "app_premium"
icon: "5336"
text:
- { text: "{{data.users_premium}}", color: "FFFFFF" }
- { text: " (+{{data.new_users_premium_last_week}})", color: "FFD700" }
- name: "app_orders"
icon: "21072"
text:
- { text: "{{data.orders_total}}", color: "FFFFFF" }
- { text: " (+{{data.new_orders_last_week}})", color: "00FF00" }
- name: "app_support"
icon: "10558"
show_if: "data.tickets_open > 0"
text:
- { text: "{{data.tickets_open}}", color: "FF0000" }Python 3.10 или выше
Ulanzi TC001 (или совместимое устройство) с прошивкой Awtrix Light Firmware, подключённое к вашей Wi-Fi сети.
uv / pip# Clone the repository
git clone https://github.com/klodnickik/mcp-server-awtrix.git
cd mcp-server-awtrix
# Copy example environment configuration
cp .env.example .env
# Edit device address and API keys in .env
# AWTRIX_BASE_URL=http://awtrix3.localЗапустите MCP-сервер локально через stdio:
# Using uv (recommended)
uv run mcp-server-awtrix
# Or standard pip
pip install -e .
python -m awtrix_mcpЗапуск с помощью Docker Compose:
# 1. Clone & prepare environment
git clone https://github.com/klodnickik/mcp-server-awtrix.git
cd mcp-server-awtrix
cp .env.example .env
# 2. Start the MCP Server (SSE on port 8000) and Metric Daemon
docker compose up -d
# Or start only the metric poller daemon:
docker compose up -d metric-daemon
# View live logs:
docker compose logs -fДобавьте в ваш mcp_servers.json:
{
"mcpServers": {
"awtrix": {
"command": "uv",
"args": ["--directory", "/path/to/mcp-server-awtrix", "run", "mcp-server-awtrix"],
"env": {
"AWTRIX_BASE_URL": "http://awtrix3.local"
}
}
}
}Добавьте в claude_desktop_config.json:
{
"mcpServers": {
"awtrix": {
"command": "python",
"args": ["-m", "awtrix_mcp"],
"env": {
"AWTRIX_BASE_URL": "http://awtrix3.local"
}
}
}
}В настройках Cursor $\rightarrow$ Features $\rightarrow$ MCP Servers $\rightarrow$ Add Server:
Имя: awtrix
Тип: command
Команда: uv --directory /path/to/mcp-server-awtrix run mcp-server-awtrix
Спецификация и дизайн основных MCP-инструментов
Декларативная схема оркестрации YAML
Реализация FastMCP с асинхронным HTTP-клиентом
Живой визуальный веб-предпросмотр для пиксель-арта матрицы
Поддержка транспортного уровня MQTT (альтернатива REST)
Экспорт обнаружения сервисов Home Assistant
Вклад приветствуется! Пожалуйста, отправьте PR или откройте issue для обсуждения функций.
Распространяется под лицензией MIT. См. LICENSE для получения дополнительной информации.
Remove a custom app from the display cycle by name.
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare idempotentHint and destructiveHint, so the core behavioral safety profile is covered. The description adds context beyond the annotations by specifying exactly what is destroyed or affected: a custom app's presence in the display cycle. No contradiction exists between the description and annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single front-loaded sentence with no filler. It states the action, target, scope, and parameter mechanism efficiently.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The tool is simple: one required parameter, an output schema is present, and annotations cover idempotency and destructive behavior. The description covers the essential target and parameter. Minor gaps remain around exact-name matching and the precise meaning of 'from the display cycle', but nothing critical is missing for basic invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description only indicates that removal happens 'by name'. This adds meaning beyond the raw schema by relating the 'name' parameter to the custom app identifier, but it does not clarify expected format, uniqueness, or matching behavior. For a single simple parameter, this is adequate but minimal.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Remove'), identifies the exact resource ('a custom app from the display cycle'), and specifies the selection mechanism ('by name'). This clearly distinguishes it from sibling tools like awtrix_upsert_app, which creates or updates an app rather than deleting it.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No explicit guidance is given about when to use this tool versus alternatives, nor are exclusions or prerequisites mentioned. The intended use is only implied by the tool's name and purpose, not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Return current AWTRIX hardware metrics: battery, lux, temperature, active app (if available).
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. The description adds useful behavioral nuance by saying 'current' and 'if available,' signaling that values may change over time and that the active app field can be absent. This is meaningful context beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single, well-structured sentence states the action and the list of returned metrics with no filler. The most important scoping word ('current') appears upfront, and the optionality of the active app is handled compactly.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With no parameters, an output schema present, and annotations covering idempotence/read-only behavior, the description is sufficient for an agent to invoke the tool correctly. It states exactly what hardware metrics will be returned and does not need to cover return formatting because the output schema exists.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, so the description has no parameter burden to carry. The baseline for zero-parameter tools is 4, and there is nothing here that reduces the score; the description instead clarifies what the returned metrics are.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Return') and names the exact resource: current AWTRIX hardware metrics (battery, lux, temperature, active app). It clearly distinguishes this read-only tool from the mutating/action siblings like awtrix_delete_app, awtrix_notify, and awtrix_upsert_app without needing to open the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description makes it clear this is the status/read tool by saying 'Return current...' while all sibling tools are actions or mutations. It does not explicitly state when not to use it, but the context is clear enough that an agent would select this for reading hardware state rather than for changing anything.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Push an instant, high-priority notification to the AWTRIX display.
| Name | Required | Description | Default |
|---|---|---|---|
| hold | No | ||
| icon | No | ||
| text | Yes | ||
| color | No | ||
| rtttl | No | ||
| sound | No | ||
| stack | No | ||
| wakeup | No | ||
| duration | No |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already communicate open-world behavior and non-idempotency, and the description adds that the notification is pushed instantly with high priority. It does not disclose auth needs, rate limits, or stacking/replacement behavior, but it does not contradict the annotations either.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single front-loaded sentence that states the essential action and destination with no filler. Every word earns its place.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
The core call is clear, but the description is minimal for a tool with 9 parameters and several sibling tools. It does not explain optional parameter relationships, duplicate-notification behavior, or when to prefer test_render; the presence of an output schema and annotations softens but does not fill these gaps.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, and the description provides no prose about any of the 9 parameters. The schema's names and defaults are somewhat informative, but the description fails to compensate for the coverage gap, such as what 'text' should contain or how icon/color/sound values are formatted.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly names the action ('Push'), the object ('notification'), and the destination ('AWTRIX display'), and adds the distinguishing 'instant, high-priority' quality. This makes it easy to separate from sibling tools that manage apps, settings, or device state.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no explicit guidance on when to use this tool versus alternatives such as awtrix_test_render or awtrix_upsert_app. The phrase 'instant, high-priority' weakly implies a use case, but the agent has to infer the right context from the tool name and siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Configure display brightness, transition animations, and screen power state.
| Name | Required | Description | Default |
|---|---|---|---|
| power | No | ||
| brightness | No | ||
| transitions | No |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the description is not required to restate safety behavior. The description adds a bit of context by listing what settings are affected, but it does not disclose side effects, persistence, or range constraints beyond the schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, compact sentence that states the action and the key areas affected. It is front-loaded with the verb and wastes no words.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple three-parameter settings tool with an output schema and safety-related annotations, the description is mostly sufficient. It could mention that all parameters are optional and independently updatable, but the schema already conveys that through defaults and nullability.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description bears the responsibility for explaining parameters. It only paraphrases the property names (brightness, transitions, power) without adding meaning about value ranges, units, null semantics, or the effect of each flag. The schema reveals defaults but little explanatory content.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('Configure') and clearly identifies the resource (display settings) while naming the three configurable areas: brightness, transition animations, and screen power state. This distinguishes it from the sibling tools like awtrix_notify, awtrix_upsert_app, and awtrix_delete_app.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description makes the tool's purpose clear enough that an agent can infer when to use it: whenever display-level settings need to be changed. It does not explicitly state when not to use it or name alternatives, but the context is unambiguous given the sibling tool names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Validate and preview a rendered notification/app payload with no hardware side-effects.
| Name | Required | Description | Default |
|---|---|---|---|
| hold | No | ||
| icon | No | ||
| kind | No | app | |
| text | Yes | ||
| color | No | ||
| rtttl | No | ||
| sound | No | ||
| wakeup | No | ||
| rainbow | No | ||
| duration | No |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already include readOnlyHint=true and idempotentHint=true, lowering the burden on the description. The description adds useful specificity by stating 'no hardware side-effects', clarifying what read-only means in this hardware context. It does not contradict the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single focused sentence with the action front-loaded and the key safety qualifier stated immediately. Every word earns its place; there is no repetition, filler, or structural waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With annotations covering safety, an output schema covering return shape, and schema defaults for optional parameters, the description is just barely viable for a minimal call using only the required `text` parameter. However, it lacks guidance on the notification/app distinction and advanced fields, and relies heavily on the provided schema and the agent's domain inference.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, yet the description provides essentially no parameter-level guidance. It only echoes the 'notification/app payload' concept, which maps to the `kind` enum, but gives no help on ten other parameters, including TextSegment, rtttl, wakeup, rainbow, and color. The description fails to compensate for the missing schema descriptions.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states a specific action, 'Validate and preview', applied to a defined resource, 'rendered notification/app payload'. It also distinguishes itself from hardware-affecting siblings by explicitly noting 'no hardware side-effects', leaving no ambiguity about what the tool is for.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides clear context that this is a safe preview/validation operation, implying it should be used instead of side-effecting tools like awtrix_notify when testing payloads. It does not explicitly name alternatives or exclusion conditions, so it stops short of a 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Create or update a persistent custom app in the display carousel.
| Name | Required | Description | Default |
|---|---|---|---|
| icon | No | ||
| name | Yes | ||
| save | No | ||
| text | Yes | ||
| color | No | ||
| repeat | No | ||
| rainbow | No | ||
| duration | No | ||
| lifetime | No | ||
| lifetime_mode | No |
| Name | Required | Description |
|---|---|---|
No output parameters | ||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide idempotentHint and destructiveHint=false, and the description aligns by saying 'create or update' and 'persistent'. It adds useful context about the app living in the display carousel and being persistent, but it does not disclose nuances like the effect of the 'save', 'lifetime', or 'lifetime_mode' parameters on persistence, or whether updating an existing app overwrites prior configuration. No contradiction with annotations exists.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence with no wasted words. It is front-loaded with the operation ('Create or update') and immediately clarifies the resource and location ('persistent custom app in the display carousel').
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema (so return values need not be explained), the high parameter count, nested TextSegment definition, and zero parameter descriptions make the overall description insufficient. An agent would not know how to construct a valid 'text' payload, when 'save' should be true, or what lifetime/lifetime_mode mean, so the tool cannot be reliably invoked correctly from the description alone.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 10 parameters and 0% description coverage, so the description must compensate by explaining parameter meaning. It does not mention a single parameter (name, text, icon, save, color, repeat, rainbow, duration, lifetime, lifetime_mode), leaving the agent to rely solely on schema titles and defaults. This is insufficient for a schema of this complexity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The descrip states a specific verb ('Create or update' — an upsert) and a specific resource ('persistent custom app' in the 'display carousel'). This clearly distinguishes it from siblings such as awtrix_delete_app, awtrix_notify, and awtrix_set_settings because it targets custom app lifecycle management, not deletion, notification, or settings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description clearly conveys when to use this tool: when the goal is to create or update a persistent custom app in the carousel. It does not explicitly name alternatives or state exclusions, but the context is strong enough that an agent can infer the intended use versus notify or delete siblings.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v0.1.0awtrix_delete_appawtrix_get_device_stateawtrix_notifyawtrix_set_settingsawtrix_test_renderawtrix_upsert_appScored across 6 tools
Each tool targets a distinct operation: app mutation, instant notification, device state query, settings, and safe preview. notify and test_render are clearly separated by side effects, while upsert_app vs notify is distinguished by persistence and priority.
All tools share the awtrix_ prefix and use snake_case with a mostly verb_noun pattern. awtrix_notify is a minor outlier because it lacks an explicit object, but the overall naming is still predictable and readable.
Six tools cover a focused display-management scope without redundancy. The count is well within the ideal range, and each tool serves a meaningful purpose.
The set covers app create/update/delete, notifications, settings, device state, and safe payload testing. Missing explicit list/get app endpoints are minor gaps that agents can partially work around using the existing app and state tools.
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