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outlook-ews-mcp

Python MCP Exchange Status License

outlook-ews-mcp — это MCP сервер для локального Microsoft Exchange через EWS (exchangelib). Он предоставляет MCP-совместимым клиентам (Claude Desktop, Claude Code и любым другим MCP-клиентам) доступ к электронной почте, календарю, контактам, папкам, вложениям и данным о доступности через единый, тестируемый Python-сервис — без необходимости прямого скриптования почтового ящика.

Переименован из outlook-mcp. Это имя уже было занято на PyPI несвязанным проектом, поэтому имя дистрибутива и CLI теперь — outlook-ews-mcp. Путь импорта Python не изменился. До первого тегированного релиза на PyPI устанавливайте из этого репозитория, как показано ниже.

Содержание

Related MCP server: owa-mail-mcp

Возможности

  • Электронная почта — список, поиск (по подстроке или Advanced Query Syntax), чтение, отправка, ответ, пересылка, перемещение, копирование, удаление, пометка, категоризация, массовые операции, экспорт в сыром MIME, добавление/удаление вложений

  • Система — правила входящих, автоответы (автоматические ответы), список делегатов только для чтения

  • Календарь — список, создание, обновление, удаление, ответы на приглашения, поиск свободных слотов, просмотр календаря общего/делегированного почтового ящика, Room Finder, массовые операции

  • Контакты — поиск, чтение, создание, обновление, удаление

  • Папки и вложения — CRUD для папок и загрузка вложений

  • Аутентификация — NTLM и Basic для локального Exchange

  • Транспорт — stdio и SSE

  • Архитектура — централизованное сопоставление ошибок через единую абстракцию ExchangeClient (см. Заметки о проекте)

  • Безопасность — более приватная проверка работоспособности по умолчанию (см. Проверка работоспособности)

  • Операции — Docker-образ и готовые пайплайны CI/CD для GitHub и GitLab

Каталог инструментов

Каждый инструмент ниже зарегистрирован в tool_specs.py — едином источнике истины для его имени, описания и схемы. Read-only помечает инструменты, которые никогда не изменяют почтовый ящик — они получают больше конкурентности (см. Очередь запросов) и их безопасно вызывать спекулятивно.

Система

Инструмент

Описание

Только чтение

ping_exchange

Проверка подключения к Exchange

✅

get_mailbox_info

Получение метаданных почтового ящика

✅

list_delegates

Список делегатов почтового ящика и уровней их прав на папки — только чтение, потому что exchangelib не поддерживает запись делегатов

✅

list_inbox_rules

Список серверных правил входящих

✅

create_inbox_rule

Создание серверного правила входящих, например «от этого отправителя → переместить в папку»

update_inbox_rule

Включение/отключение правила или изменение его приоритета (другие поля здесь не обновляются)

delete_inbox_rule

Удаление серверного правила входящих по id

get_out_of_office

Получение настроек автоответа (автоматических ответов)

✅

set_out_of_office

Отключение, включение автоматических ответов или планирование окна начала/окончания

⚠️ create_inbox_rule / update_inbox_rule / delete_inbox_rule управляют правилами через EWS, что удаляет клиентский блоб правил, который хранит настольный Outlook — это может стереть правила, созданные пользователем в самом Outlook. Это документированное поведение EWS, а не ошибка здесь.

Электронная почта

Инструмент

Описание

Только чтение

list_emails

Список писем в папке

✅

get_email

Получение полного письма по id

✅

get_email_mime

Экспорт сырого MIME-содержимого сообщения в формате RFC 822, закодированного в base64

✅

get_thread

Получение всех сообщений беседы по порядку, включая тела

✅

search_emails

Поиск по подстроке (тема/тело/отправитель) или серверный Advanced Query Syntax

✅

send_email

Отправка нового письма

reply_email

Ответ на письмо

forward_email

Пересылка письма

move_email

Перемещение письма в другую папку

copy_email

Копирование письма в другую папку

move_emails

Массовое перемещение с результатами по каждому элементу — один плохой id не ломает остальные

copy_emails

Массовое копирование с результатами по каждому элементу

delete_emails

Массовое удаление с результатами по каждому элементу (мягкое удаление, если не hard_delete)

delete_email

Удаление письма

mark_email

Обновление состояния прочитанности, важности или флага отслеживания

categorize_email

Установка, добавление или удаление категорий Outlook (цветных меток)

mark_emails

Массовая версия mark_email с результатами по каждому элементу

categorize_emails

Массовая версия categorize_email с результатами по каждому элементу

list_categories

Список используемых категорий с количеством, выбранных из недавних сообщений (не из главного списка категорий почтового ящика)

✅

list_folders

Список папок почтового ящика

✅

create_folder

Создание папки почтового ящика

rename_folder

Переименование папки — отказывается от встроенных папок (Входящие, Отправленные, Календарь, ...)

delete_folder

Удаление папки и всего её содержимого — отказывается от встроенных папок

create_draft

Создание черновика письма

update_draft

Обновление черновика; пропущенные поля остаются без изменений, attachments (если заданы) заменяют весь набор

send_draft

Отправка существующего черновика

add_attachment

Прикрепление локального файла к сообщению, обычно к черновику — файл должен находиться в EXCHANGE_ATTACHMENT_ROOT

delete_attachment

Удаление одного вложения из сообщения по id

get_attachment

Сохранение вложения на диск

✅

Календарь

Инструмент

Описание

Только чтение

list_events

Перечислить события календаря в диапазоне времени; передайте mailbox для календаря по умолчанию коллеги (требуется доступ делегата/от имени, не комбинируется с calendar_id)

✅

get_event

Получить событие календаря по id; передайте mailbox для календаря коллеги

✅

create_event

Создать событие календаря

update_event

Обновить событие календаря

delete_event

Удалить событие календаря

respond_to_invite

Принять, отклонить или предварительно ответить на приглашение

find_free_slots

Найти свободные временные слоты для встречи

✅

delete_events

Массовое удаление событий с результатами по каждому элементу

respond_to_invites

Массовый ответ на приглашения с результатами по каждому элементу

get_my_availability

Получить слоты свободен/занят; передайте mailbox для календаря коллеги

✅

list_calendars

Перечислить календари

✅

list_room_lists

Перечислить списки комнат Room Finder (группы переговорных комнат)

✅

list_rooms

Перечислить переговорные комнаты в списке комнат Room Finder

✅

Контакты

Инструмент

Описание

Только чтение

search_contacts

Поиск контактов

✅

get_contact

Получить контакт по id

✅

create_contact

Создать личный контакт

update_contact

Обновить личный контакт

delete_contact

Удалить личный контакт

Типичные сценарии использования

  • Подключить Claude Desktop или другой MCP-клиент к локальному Exchange

  • Искать сообщения во входящих и получать полное содержимое электронной почты

  • Отправлять или создавать черновики писем из AI-процессов

  • Просматривать календари и создавать встречи

  • Проверять окна свободен/занят для планирования

  • Искать личные контакты или глобальный список адресов

  • Предоставлять операции Exchange через контролируемую границу MCP вместо прямого скриптования почтового ящика

Замечания по безопасности

Что делает текущий код:

Ограниченное подключение

Подключается только к конечной точке Exchange/EWS, настроенной в EXCHANGE_SERVER

Без телеметрии

Не содержит телеметрии, аналитики или логики экспорта данных третьим сторонам

Секреты остаются локальными

Хранит секреты в переменных окружения / .env, игнорируемых .gitignore (.env, .env.*, сохраняя .env.example)

Чистые ответы об ошибках

Структурированные ответы об ошибках MCP никогда не включают исходный текст исключений Exchange, тела сообщений, содержимое вложений или пароли; успешные инструменты возвращают только те данные почтового ящика, которые были запрошены

Чистые журналы

LOG_LEVEL управляет только собственными логгерами приложения outlook_mcp.*; логгеры SOAP XML exchangelib — которые в противном случае выводили бы полный XML запросов/ответов, даже на уровне ERROR при транспортных ошибках — всегда принудительно отключены

Чистые Docker-сборки

.dockerignore исключает .env, тесты, кэши и метаданные VCS из контекста сборки

На что вам всё же следует обратить внимание:

  • EXCHANGE_VERIFY_SSL=false отключает проверку TLS-сертификатов — только для доверенных внутренних/самоподписанных сред.

  • EXCHANGE_AUTH_TYPE=Basic отправляет учетные данные в открытом виде, поэтому сервер отказывается запускаться против http:// EXCHANGE_SERVER; переопределите это только с помощью EXCHANGE_ALLOW_INSECURE_BASIC_AUTH=true для локального/тестового сервера, которым вы управляете.

  • get_attachment записывает файлы на диск, а send_email/reply_email/forward_email/create_draft читают локальные файлы (через attachments) и прикрепляют их содержимое к исходящей почте. В сочетании с недоверенным содержимым электронной почты это вероятный путь для эксфильтрации любого файла, читаемого процессом, через внедрение в промпт. Локальный доступ к файлам по умолчанию запрещен и работает только после установки EXCHANGE_ATTACHMENT_ROOT в абсолютный каталог, который затем ограничивает и пути attachments, и save_path из get_attachment этим деревом каталогов (неустановленный save_path по-прежнему использует системную временную папку).

  • outlook-ews-mcp-smoke по умолчанию безопасен для конфиденциальности и выводит только замаскированную информацию о почтовом ящике и счетчики; установите OUTLOOK_MCP_SMOKE_INCLUDE_DATA=true только если вы явно хотите видеть реальные данные входящих/событий в stdout.

  • Если вы включаете ведение журнала в файл с помощью LOG_FILE, защитите этот файл правами ОС.

  • Если вы публикуете Docker-образы из CI, защитите доступ к проекту GitLab/GitHub и права на реестр.

Быстрый старт

uv venv
source .venv/bin/activate
uv pip install -e .[dev]
cp .env.example .env
outlook-ews-mcp

По умолчанию сервер работает в режиме stdio. Установите MCP_TRANSPORT=sse, чтобы вместо этого запустить HTTP-сервер.

Конфигурация

Минимальный .env для начала — всё остальное ниже имеет рабочий вариант по умолчанию:

EXCHANGE_SERVER=https://mail.company.com/EWS/Exchange.asmx
EXCHANGE_USERNAME=DOMAIN\username
EXCHANGE_PASSWORD=secret
EXCHANGE_EMAIL_ADDRESS=user@company.com
EXCHANGE_AUTH_TYPE=NTLM

Полностью прокомментированная копия каждой переменной находится в .env.example.

Переменная

По умолчанию

Описание

EXCHANGE_SERVER

(обязательно)

URL конечной точки EWS, например https://mail.company.com/EWS/Exchange.asmx

EXCHANGE_USERNAME

(обязательно)

DOMAIN\username или UPN. Ровно одна обратная косая черта — dotenv не обрабатывает escape-последовательности

EXCHANGE_PASSWORD

(обязательно)

Пароль учётной записи

EXCHANGE_EMAIL_ADDRESS

не задано

SMTP-адрес; задаётся, когда EXCHANGE_USERNAME не является таковым

EXCHANGE_AUTH_TYPE

NTLM

NTLM или Basic

EXCHANGE_ALLOW_INSECURE_BASIC_AUTH

false

Разрешить Basic-аутентификацию по http:// — только для локальных/тестовых серверов

EXCHANGE_VERIFY_SSL

true

Проверять TLS-сертификат сервера; false только для доверенных внутренних/самоподписанных настроек

EXCHANGE_VERSION

не задано (автоопределение)

Версия сервера Exchange, например EXCHANGE_2016

EXCHANGE_TIMEZONE_FALLBACK

Europe/Moscow

Используется только когда Exchange сообщает неразрешимый GUID-идентификатор часового пояса; в обычной работе используется часовой пояс почтового ящика по умолчанию

EXCHANGE_TIMEOUT

30

Таймаут на запрос в секундах (1–300)

EXCHANGE_MAX_RETRY_WAIT_SECONDS

90

Бюджет ожидания по реальному времени для read-only вызовов, когда Exchange сообщает о своей занятости; это не количество повторов; 0 отключает повторы. Записи никогда не повторяются автоматически

EXCHANGE_IMPERSONATE_AS

не задано

Почтовый ящик для олицетворения (требуются права на олицетворение Exchange)

EXCHANGE_ATTACHMENT_MAX_SIZE_MB

10

Максимальный размер одного вложения, применяется и при загрузке, и при скачивании через get_attachment (1–100)

EXCHANGE_ATTACHMENT_MAX_COUNT

10

Максимальное количество вложений в одном вызове send/reply/forward/create_draft (1–100)

EXCHANGE_ATTACHMENT_MAX_TOTAL_SIZE_MB

25

Максимальный суммарный размер вложений в одном вызове (1–500)

EXCHANGE_ATTACHMENT_ROOT

не задано (отключено)

Каталог, ограничивающий пути к вложениям. Если не задано, отказывает в любом локальном доступе к файлам для attachments/save_path; задайте абсолютный путь к каталогу, чтобы разрешить пути внутри него

EXCHANGE_EMAIL_BODY_MAX_CHARS

200000

Ограничение на body_text/body_html в get_email (1,000–5,000,000); более длинные тела обрезаются с truncated: true

EXCHANGE_EMAIL_MIME_MAX_SIZE_MB

25

Ограничение на размер необработанного MIME-экспорта до расширения base64 (1–100)

EXCHANGE_SIGNATURE_TEXT

не задано

Добавляется к исходящим текстовым телам и ответам/пересылкам. API подписи EWS не существует, поэтому это конфигурация, а не подпись Outlook почтового ящика

EXCHANGE_SIGNATURE_HTML

не задано

Добавляется к исходящим HTML-телам. Та же оговорка, что выше; взаимного преобразования между ними нет. Любую можно пропустить в вызове с include_signature: false

MCP_TRANSPORT

stdio

stdio или sse

MCP_SSE_HOST

127.0.0.1

Адрес привязки, когда MCP_TRANSPORT=sse

MCP_SSE_PORT

8080

Порт привязки, когда MCP_TRANSPORT=sse

MCP_MAX_CONCURRENCY

4

Одновременные read-only вызовы инструментов (1–8); изменяющие вызовы всегда выполняются исключительно. См. Очередь запросов

MCP_MAX_QUEUE_SIZE

20

Максимальное количество вызовов, принимаемых одновременно, выполняющихся и ожидающих (1–1000); сверх этого вызовы получают немедленную ошибку server_busy

LOG_LEVEL

INFO

DEBUG, INFO, WARNING или ERROR

LOG_FILE

не задано (stderr)

Путь к файлу журнала; защитите его правами ОС, если задан

Примечания о поведении, не привязанные к отдельной переменной:

  • list_events и find_free_slots принимают ограниченный limit (по умолчанию 200, максимум 1000); диапазоны событий ограничены 366 днями, а диапазоны свободных слотов — 31 днём, так что широкие запросы не могут порождать неограниченные ответы EWS или MCP.

  • Списки остаются компактными по замыслу: сводки писем содержат отправителя, но не списки получателей (get_email их содержит), list_events возвращает события без тел (get_event их содержит), а get_email возвращает заголовки RFC-822 только с include_headers: true.

  • Операции отправки возвращают id: null, когда EWS не предоставляет устойчивый идентификатор для отправленной копии (в частности, для ответов, пересылок и отправленных черновиков).

  • Метаданные вложений включают downloadable; встроенные вложения элементов Exchange имеют downloadable: false и не могут быть сохранены через get_attachment.

Очередь запросов

Клиенты отправляют несколько вызовов инструментов параллельно. Работа с Exchange блокирующая, поэтому сервер выполняет её в рабочих потоках и допускает вызовы через одну общую FIFO-очередь.

  • MCP_MAX_CONCURRENCY (по умолчанию 4) задаёт, сколько read-only вызовов выполняется одновременно, так что агент, запрашивающий письмо, список папок и календарь, платит за самый медленный круговой путь вместо суммы. Изменяющие вызовы всегда выполняются исключительно — по одному, никогда не пересекаясь с чтением — поэтому гонки чтения/записи в общем состоянии учётной записи невозможны. Вызывающие сверх лимита ждут своей очереди, обслуживаясь в порядке поступления; ожидающая мутация блокирует более поздние чтения, не позволяя им обогнать её.

  • MCP_MAX_QUEUE_SIZE (по умолчанию 20) ограничивает, сколько вызовов может быть принято одновременно, выполняющихся или ожидающих. Когда столько уже находится в очереди, дальнейшие вызовы получают немедленную ошибку server_busy вместо присоединения к неограниченной очереди.

  • Транспорт остаётся отзывчивым, пока работа выполняется. Инструменты ожидаются (await), а не выполняются в потоке цикла событий, поэтому завершённые ответы отправляются немедленно, а пинги обрабатываются, пока длинный вызов ещё выполняется.

  • Таймаута на вызов нет, намеренно. Поток, заблокированный на чтении сокета, нельзя убить извне; среда выполнения может только перестать ждать его, что бросает поток вместе с удерживаемой им сессией EWS. Пул сессий exchangelib имеет жёсткий максимум и выдаёт сессии в цикле без пути отказа, поэтому утёкшие сессии в конечном итоге истощают его, и каждый последующий вызов блокируется навсегда. Медленный вызов пережидается, ограниченный EXCHANGE_TIMEOUT плюс EXCHANGE_MAX_RETRY_WAIT_SECONDS: политика повторов учётной записи — быстрый отказ, поэтому каждый вызов EWS вызывает исключение при первой же временной ошибке, а не exchangelib повторяет его бесконечно внутри, и ExchangeClient сам повторяет только read-only вызовы, ограниченные этим бюджетом реального времени. Записи никогда не повторяются автоматически. Превышения сверх ожидаемого бюджета регистрируются в журнале.

Пример для Claude Desktop

{
  "mcpServers": {
    "outlook": {
      "command": "outlook-ews-mcp",
      "env": {
        "EXCHANGE_SERVER": "https://mail.company.com/EWS/Exchange.asmx",
        "EXCHANGE_USERNAME": "DOMAIN\\username",
        "EXCHANGE_PASSWORD": "secret",
        "EXCHANGE_EMAIL_ADDRESS": "user@company.com",
        "EXCHANGE_AUTH_TYPE": "NTLM"
      }
    }
  }
}

Быстрая проверка

После заполнения .env выполните:

outlook-ews-mcp-smoke

Вывод по умолчанию очищен для более безопасной проверки. Если вы намеренно хотите получить образцы данных почтового ящика/событий в выводе:

OUTLOOK_MCP_SMOKE_INCLUDE_DATA=true outlook-ews-mcp-smoke

Docker

docker build -t outlook-ews-mcp .
docker run --rm --env-file .env outlook-ews-mcp

CI/CD

GitHub Actions и GitLab CI оба запускают lint, форматирование, проверки типов, тесты, аудит зависимостей и сборку пакетов, используя версию uv, закреплённую в pyproject.toml.

GitHub

Дополнительно публикует тегированные релизы (v*) на PyPI через OIDC trusted publishing. Перед первым релизом настройте pending publisher PyPI для репозитория viartemev/outlook-ews-mcp, workflow ci.yml и окружения pypi — в GitHub не хранится долгоживущий токен PyPI.

GitLab

Дополнительно собирает и публикует Docker-образ в GitLab Container Registry на ветке по умолчанию и на тегах, используя встроенные переменные CI_REGISTRY / CI_REGISTRY_USER / CI_REGISTRY_PASSWORD / CI_REGISTRY_IMAGE.

Поведение тегирования образов по умолчанию:

Триггер

Отправляемые теги

Ветка по умолчанию

:$CI_COMMIT_SHORT_SHA и :latest

Git-тег

:$CI_COMMIT_TAG

Разработка

uv run --python 3.12 --with '.[dev]' ruff check .
uv run --python 3.12 --with '.[dev]' pytest -q

Заметки о проекте

  • Реализация сосредоточена вокруг единой абстракции ExchangeClient, чтобы аутентификация, транспорт, повторы и сопоставление ошибок оставались централизованными.

  • Ошибки возвращаются в структурированной JSON-форме, подходящей для обработки MCP isError=true.

Вклад в проект

Сообщения об ошибках и PR приветствуются — см. CONTRIBUTING.md о том, как настроить среду разработки и запустить тестовый набор без реального сервера Exchange. О сообщениях об уязвимостях см. SECURITY.md.

Лицензия

MIT — см. LICENSE.

Available Tools

31 tools
copy_emailC

Copy email to another folder

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are present, so the description carries the full burden. It only states the basic function without disclosing side effects, permissions, error conditions, or output behavior.

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 description is extremely short (6 words), but this conciseness sacrifices critical information. It is not a model of efficient communication since it omits necessary details.

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

Completeness2/5

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

Given a single undocumented parameter and no annotations, the description fails to provide enough context for correct invocation. The output schema exists but is not leveraged in the description.

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

Parameters1/5

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

The only parameter 'kwargs' is completely undocumented in both schema and description, with 0% schema description coverage. The description offers no guidance on required keys or values.

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 states the action ('copy') and the resource ('email to another folder'), distinguishing it from sibling tools like 'move_email' which implies relocation rather than duplication.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives (e.g., copy vs. move email). No prerequisites or context provided, leaving the agent to infer usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

create_contactC

Create a personal contact

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.1/5.0
Behavior1/5

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

No annotations are present, and the description provides no behavioral details such as authentication requirements, side effects, or error handling. The description is too sparse to be informative.

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 description is minimal (one sentence) but lacks necessary detail. While concise, it fails to provide useful information beyond the tool's name, reducing its effectiveness.

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

Completeness1/5

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

Given the low parameter count, the description should still explain the parameter's structure and expected output. It does not, leaving the agent with no actionable information.

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

Parameters1/5

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

The sole parameter 'kwargs' is opaque with no description or type constraints. With 0% schema description coverage, the description offers no clarification, making it impossible for an agent to know what keys or values are expected.

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 states the verb 'Create' and the resource 'personal contact'. It distinguishes from sibling tools like 'update_contact' and 'delete_contact', though it does not elaborate on what constitutes a personal contact.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. No exclusions, prerequisites, or contextual advice provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

create_draftC

Create an email draft

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are present, and the description fails to disclose behavioral traits beyond the basic action. It does not mention what the draft entails (e.g., recipients, body) or any side effects, leaving the agent uninformed about critical behavior.

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

Conciseness3/5

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

The description is a single sentence, which is concise. However, it is too brief to be useful, scoring an average as the brevity comes at the cost of essential information.

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

Completeness2/5

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

Despite having an output schema (not detailed) and a complex domain (email drafts), the description provides no information on return values, how to populate content, or relation to other email tool actions, making it incomplete for effective use.

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

Parameters1/5

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

The input schema has a single required 'kwargs' parameter with no defined properties and 0% coverage. The description adds no explanation, so the agent cannot understand how to structure the parameter or what keys are expected, making it nearly unusable.

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 states the action ('Create') and resource ('email draft'), which is specific. However, given sibling tools like 'send_draft' and 'create_event', it does not differentiate further, but it is still unambiguous.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as 'send_draft' or 'create_event'. The description lacks context for appropriate usage scenarios.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

create_eventC

Create a calendar event

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided, and the description only says 'Create a calendar event'. It does not disclose any behavioral traits such as permissions required, side effects, or what happens if the event already exists.

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 description is a single sentence, but it is under-specified. Conciseness is achieved at the cost of omitting essential information.

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

Completeness2/5

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

For a tool with no annotations, generic parameter, and no explanation of output, the description is insufficient. The agent needs more context to use it correctly.

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

Parameters1/5

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

The input schema has a single parameter 'kwargs' with no description and 0% schema coverage. The description adds no context about what kwargs should contain, leaving the agent without guidance.

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?

Description states 'Create a calendar event', clearly indicating the action (create) and resource (calendar event). However, it does not distinguish from sibling tools like update_event or respond_to_invite, but the verb 'create' is unambiguous.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like update_event or respond_to_invite. No prerequisites or usage constraints provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

create_folderC

Create a mailbox folder

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.1/5.0
Behavior1/5

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

The description gives no behavioral details beyond the action. Since no annotations are present, the description should disclose effects (e.g., duplication behavior, permissions, limits), but it does not. This is a significant gap.

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 description is very short (4 words), but it is under-specification rather than concise. It sacrifices necessary detail for brevity.

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

Completeness1/5

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

With 0% schema description coverage and no annotations, the description must provide comprehensive context. It fails to explain the 'kwargs' parameter, return value (though output schema exists), or any usage details. Completely inadequate for the tool's complexity.

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

Parameters1/5

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

The sole parameter 'kwargs' is not described in the schema or description. The description adds no meaning to what this parameter should contain, making it impossible for an AI agent to use correctly.

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 states 'Create a mailbox folder', which clearly identifies the action (create) and resource (mailbox folder). It distinguishes from sibling tools like 'list_folders' or 'move_email' by specifying creation. However, it lacks specificity about which mailbox or folder hierarchy.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like 'list_folders' for reading or other creation tools. No context on prerequisites or exclusions is provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

delete_contactC

Delete a personal contact

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided, so the description must disclose behavioral traits. It only states 'Delete', which implies destruction, but lacks details on permanence, authorization, or side effects.

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

Conciseness3/5

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

The description is a single sentence, which is concise but at the expense of essential details. It could be restructured to include parameter expectations within the same brevity.

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

Completeness1/5

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

Given the vague input schema, lack of annotations, and many sibling tools, the description fails to provide enough context for correct invocation. The agent is left with critical knowledge gaps.

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

Parameters1/5

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

The input schema has a single 'kwargs' parameter with 0% description coverage. The description offers no guidance on what kwargs should contain, leaving the agent unable to construct a valid input.

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 states the action 'Delete' and the resource 'personal contact', effectively distinguishing it from sibling tools like create_contact, update_contact, and get_contact.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives. With 30 sibling tools including delete_email and delete_event, the description should clarify its specific scope.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

delete_emailC

Delete an email

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior1/5

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

Without annotations, the description carries full burden for behavioral disclosure. It does not specify whether deletion is permanent, moves to trash, or if any confirmation is needed.

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 description is extremely short and under-specified. While front-loaded, it fails to provide essential details, making it insufficiently concise.

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

Completeness2/5

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

Given that an output schema exists but no annotations, the description is incomplete. It does not cover key contextual details like deletion behavior or side effects.

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

Parameters1/5

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

The sole parameter 'kwargs' has no description in the schema (0% coverage), and the description adds no meaning beyond the parameter name.

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 verb 'Delete' and resource 'an email', which is specific and distinguishes it from sibling tools like 'delete_contact' or 'delete_event'.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives, nor any prerequisites or exclusions. The description gives no context for appropriate usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

delete_eventC

Delete a calendar event

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations, the description carries full burden but only states it deletes an event. Missing critical details such as irreversibility, required permissions, impact on recurring events, or cancellation notifications.

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

Conciseness3/5

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

The description is very concise (one sentence), but it sacrifices necessary detail. While it states the purpose, it does not earn its place by providing additional value beyond the name.

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

Completeness2/5

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

Given the number of sibling tools and the generic parameter, the description is insufficient. It does not explain how to use the output schema or how to identify the event, leaving the agent with incomplete guidance.

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

Parameters1/5

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

The only parameter is 'kwargs' with no description or sub-properties. The schema coverage is 0%, and the description adds no meaning to this parameter, leaving the agent without guidance on how to specify the event to delete.

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 states the verb 'delete' and the resource 'calendar event', distinguishing it from sibling tools like delete_contact or delete_email. However, it could be more specific by indicating how the event is identified.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives (e.g., respond_to_invite for meeting responses). There is no mention of prerequisites or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

find_free_slotsD

Find meeting time slots

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

D1.5/5.0
Behavior1/5

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

With no annotations, the description must disclose behavioral traits, but it omits whether the tool is read-only, mutating, requires authentication, or has side effects. The agent has zero insight into behavior.

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 description is short but severely under-specified. Brevity is wasted without essential details; it does not earn its place by being informative.

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

Completeness1/5

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

Given no annotations, a meaningless input schema, and no explanation of output (though an output schema exists), the description is completely inadequate for a tool with many siblings and potential complexity.

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

Parameters1/5

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

The input schema has a single 'kwargs' parameter with no type or description, and schema description coverage is 0%. The description adds no parameter meaning, leaving the agent blind to required inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Find meeting time slots' is vague and barely extends the tool name. It doesn't specify what inputs are needed (e.g., attendees, date ranges) or output format, and fails to distinguish it from sibling tools like 'get_my_availability'.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives. Sibling tools like 'get_my_availability' and 'list_events' likely overlap, but the description offers no comparative context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

forward_emailC

Forward an email

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.1/5.0
Behavior1/5

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

No annotations are present, so the description must convey behavioral traits. It does not disclose whether forwarding creates a draft or sends immediately, required permissions, or side effects.

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?

While short, the description is too terse and lacks substance. It fails to earn its place as it provides no actionable information beyond the tool name.

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

Completeness1/5

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

Given the complexity of email forwarding and the lack of schema detail, the description is severely incomplete. It does not address recipient, body, or attachments, leaving critical gaps.

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

Parameters1/5

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

The input schema has a single 'kwargs' parameter with 0% description coverage. The description offers no details on what kwargs should contain, leaving the agent with no guidance.

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 'Forward an email' clearly states the verb and resource, distinguishing it from siblings like reply_email and send_email. However, it is terse and lacks specificity about the forwarding behavior.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like reply_email or send_draft. There are no exclusions or context for use.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_attachmentC

Save an attachment to disk

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided, so description must fully disclose behavior. Only mentions 'save to disk' without indicating side effects, permissions, or whether operation is idempotent. Fails to specify if attachment is deleted after save or if it requires authentication.

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

Conciseness3/5

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

One sentence, very short, but lacks essential details. It is concise but at the expense of completeness. Could be improved with brief parameter notes.

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

Completeness1/5

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

Despite having an output schema, the description is nearly empty. No mention of how to identify the attachment (e.g., attachment ID), expected input format, or return value. Incomplete for a file saving operation.

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

Parameters1/5

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

Single parameter 'kwargs' is an object with no schema details. Description does not explain what keys or values are needed, leaving the agent without guidance. With 0% schema coverage, this is a critical 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?

Description clearly states the action 'Save an attachment to disk', which is a specific verb-resource combination. However, it doesn't differentiate from sibling tools like get_email, and the name 'get_attachment' suggests retrieval while description implies download.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives, such as get_email or other retrieval tools. No context about prerequisites or conditions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_contactC

Get a contact by ID

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It only states the action without mentioning read-only nature, error handling, permissions, or side effects. This is insufficient for safe invocation.

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

Conciseness3/5

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

The description is extremely concise at one sentence, but it is underspecified. It lacks critical information that would justify its brevity. Structure is simple but not effective.

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

Completeness2/5

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

Given the vague schema and lack of annotations, the description does not provide enough context. It neither explains the input structure nor the expected output (though an output schema exists). The tool's purpose is clear but operational details are missing.

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

Parameters2/5

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

Schema description coverage is 0% (the 'kwargs' parameter has no described properties). The description says 'by ID' but fails to specify how the ID fits into the input, leaving the agent to guess. The description adds little value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Get a contact by ID', which identifies the verb and resource. However, the input schema only has a generic 'kwargs' object without an explicit ID field, creating a mismatch between the description and the schema. This reduces clarity about how to use the tool.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like search_contacts or get_email. There are no context cues, exclusions, or scenarios mentioned, leaving the agent without decision support.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_emailC

Get a full email by ID

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.6/5.0
Behavior2/5

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

No annotations are provided, so the description carries full responsibility. It only states 'get', implying a read operation, but does not disclose any side effects, permissions needed, or response characteristics.

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?

The description is very concise at one sentence, front-loading the purpose. However, it sacrifices essential details that could be added without much length.

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

Completeness2/5

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

Given the presence of an output schema, the description need not explain return values, but it lacks parameter details and usage context. The tool is simple, but the description is too minimal even for a low-complexity tool.

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

Parameters1/5

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

The input schema has one parameter 'kwargs' with no description, and the tool description mentions 'by ID' but does not explain how to pass the ID or what kwargs should contain. Schema coverage is 0%, so the description fails to add meaning.

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 states 'Get a full email by ID', which clearly indicates the action (get) and the resource (email) with a distinguishing detail (by ID). It differentiates from sibling tools like list_emails or copy_email that have different purposes.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like get_attachment or search_emails. No information about prerequisites or when not to use it.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_eventB

Get a calendar event by ID

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3/5.0
Behavior2/5

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

No annotations provided, and the description lacks behavioral details such as whether authentication is required, error handling for missing IDs, or read-only nature. The agent gets no transparency beyond the basic purpose.

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?

The description is a single, front-loaded sentence with no wasted words. It could be slightly expanded, but it earns its place for a simple get-by-ID operation.

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

Completeness2/5

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

While an output schema exists, the input parameter is poorly defined. The tool is simple, but the missing parameter guidance makes it incomplete for correct invocation.

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

Parameters1/5

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

The input schema has a single 'kwargs' parameter with no description (0% coverage). The description does not explain that kwargs should contain the event ID, leaving the agent uninformed about how to invoke the tool correctly.

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 'Get a calendar event by ID' provides a clear verb ('Get'), resource ('calendar event'), and identifier ('by ID'). It effectively distinguishes this tool from siblings like create_event or update_event.

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?

No explicit guidance on when to use this tool versus alternatives, but the purpose is self-evident from the name and description. The agent can infer usage context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_mailbox_infoC

Get mailbox metadata

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are present, so the description must carry the full burden. It does not disclose any behavioral traits such as read-only nature, authentication needs, or side effects beyond implying a read operation.

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 description is extremely short (three words). While brief, it is under-specified and does not provide enough information to be useful, sacrificing completeness for brevity.

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

Completeness2/5

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

Given the presence of a complex opaque parameter (kwargs) and no annotations, the description is incomplete. It fails to explain how to use the tool or what metadata is returned, even though an output schema exists.

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

Parameters1/5

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

The input schema has 0% description coverage, and the description does not explain the single parameter 'kwargs'. It adds no meaning beyond the schema.

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 states 'Get mailbox metadata', which is a specific verb+resource. It distinguishes from sibling tools like get_contact or get_email by focusing on mailbox-level metadata. However, the term 'metadata' is somewhat vague.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like list_folders or get_email. There is no mention of prerequisites, context, or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_my_availabilityC

Get free and busy slots

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose whether the tool is read-only, requires authentication, or has any rate limits. The output schema is present but not described, missing behavioral context.

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 description is too brief at one sentence, sacrificing necessary detail. It lacks structure and front-loading of critical information like input requirements.

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

Completeness2/5

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

Even with an output schema, the description fails to explain the context of 'free and busy slots'—such as time ranges, how slots are defined, or how the output relates to the input. Incomplete for effective use.

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

Parameters1/5

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

The only parameter 'kwargs' is a generic object with no description, and the schema coverage is 0%. The description adds no meaning beyond the schema, leaving the agent unable to determine what arguments are required.

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 'Get free and busy slots' clearly states the verb 'Get' and the resource 'free and busy slots', indicating what the tool returns. However, it does not differentiate from the sibling tool 'find_free_slots', which likely serves a similar purpose.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'find_free_slots'. There is no mention of prerequisites, time ranges, or context for the slots.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_calendarsC

List calendars

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.2/5.0
Behavior1/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as pagination, authentication requirements, whether it lists all calendars or only accessible ones, or any side effects. The description carries the full burden and fails completely.

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?

While the description is extremely concise (two words), it is underspecified and does not provide enough information. Conciseness should not come at the expense of clarity or completeness.

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

Completeness2/5

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

Given the tool's simplicity and the existence of an output schema, the description could still provide context such as 'lists all calendars accessible to the user' but does not. The description is incomplete for an agent to understand the tool's functionality.

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

Parameters1/5

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

The input schema has one parameter 'kwargs' with no description (schema coverage 0%), and the description does not add any meaning to this parameter. The agent has no idea what 'kwargs' accepts.

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 'List calendars' clearly states the verb 'List' and resource 'calendars', which is specific and distinguishes it from sibling tools like 'list_emails' or 'list_events' by resource type. However, it does not provide any additional context or differentiation beyond the name.

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

Usage Guidelines2/5

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

There is no guidance on when to use this tool, when not to use it, or alternatives. The description is minimal and does not help the agent decide between this and related tools like 'list_events' or 'list_folders'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_emailsD

List emails in a folder

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

D1.8/5.0
Behavior1/5

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

No annotations exist, and the description does not disclose behavioral traits like authentication requirements, whether the operation is read-only, pagination behavior, or return format. The agent is left uninformed about side effects or constraints.

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?

At six words, the description is extremely concise, but this brevity sacrifices critical information. It does not earn its place as every sentence should; it is under-specified rather than efficiently informative.

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

Completeness1/5

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

Given the opaque parameter schema, no annotations, many sibling tools, and an existing output schema not described, the description fails to provide enough context for correct invocation. It lacks details on folder identification, filtering, pagination, or output structure.

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

Parameters1/5

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

The only parameter is 'kwargs' of type object, with no schema-level descriptions and 0% coverage. The description fails to explain what keys or values this parameter should contain, leaving the agent without guidance on how to construct the argument.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'List emails in a folder' clearly states the action and resource, but lacks specificity about which folder or what subset of emails (e.g., all, recent, filtered). It does not distinguish from sibling tools like 'search_emails' which also deal with listing emails.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as 'search_emails', 'get_email', or 'list_folders'. The agent has no context on prerequisites or exclusions.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_eventsC

List calendar events in a time range

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are present, so the description must fully disclose behavior. It only says 'list events in a time range' but omits details like pagination, ordering, event detail level, or whether it returns all properties. This is insufficient for a list operation.

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

Conciseness3/5

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

The description is a single sentence with no extraneous words, but it is too terse and lacks necessary details. Conciseness is achieved at the cost of completeness.

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

Completeness2/5

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

Given the complexity (catch-all parameter, likely output schema present but not described) and lack of annotations, the description is inadequate. It does not explain how to use the tool effectively or what to expect in return.

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

Parameters1/5

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

The input schema defines a single parameter 'kwargs' with 0% description coverage, meaning the schema provides no semantics. The description does not clarify what 'kwargs' accepts or how to specify the time range, leaving the agent with no guidance.

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 verb 'list', the resource 'calendar events', and the scope 'in a time range'. It distinguishes from sibling tools like list_calendars (which lists calendars) and get_event (which retrieves a single event).

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as get_event, list_calendars, or find_free_slots. There is no mention of typical use cases or limitations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

list_foldersC

List mailbox folders

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided; description only says 'list' implying read-only, but lacks details on pagination, error states, or side effects.

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?

Too brief and under-specified; a single sentence without structure or additional context, missing critical information.

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

Completeness2/5

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

Despite having an output schema, the description fails to explain the tool's behavior or parameter usage, leaving the agent with insufficient information.

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

Parameters1/5

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

The sole parameter 'kwargs' has no description in schema and the description adds no meaning, leaving the agent without any guidance on how to use it.

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 states 'List mailbox folders' with a specific verb and resource, clearly distinguishing from sibling tools like 'create_folder' and 'list_emails'.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives, such as when to use 'create_folder' or 'list_emails' instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

mark_emailC

Update email flags

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.2/5.0
Behavior2/5

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

With no annotations, the description carries the burden of behavioral disclosure. It only states 'Update email flags', implying mutation but does not describe safety, permissions, or effects on the email. Minimal value beyond purpose.

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

Conciseness3/5

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

The description is very concise at one sentence, but it is under-specified. While brevity is appreciated, it lacks structure and important details, making it only minimally acceptable.

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

Completeness2/5

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

Given the opaque input schema and no additional context, the description is incomplete. An output schema exists but does not compensate for the lack of input guidance. The description fails to provide enough information for effective tool invocation.

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

Parameters1/5

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

The only parameter is 'kwargs' with no description inside the schema. Schema coverage is 0%. The tool description adds no meaning about what keys or values are expected, leaving the agent completely in the dark.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Update email flags' clearly states the action and resource, but it is vague regarding what flags are available and how it differs from sibling tools like 'move_email' or 'forward_email'. It lacks specificity to fully differentiate.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. There is no mention of context, prerequisites, or exclusions, leaving the agent without usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

move_emailC

Move email to another folder

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.7/5.0
Behavior2/5

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

No annotations are provided, so the description must cover behavioral traits. It only states 'move' without indicating whether the operation is destructive, if it requires special permissions, or any side effects. This is insufficient for an agent to understand the tool's impact.

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

Conciseness3/5

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

The description is very short and front-loaded, but it lacks structure. It is one sentence with no additional details, which is borderline under-specification rather than conciseness.

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

Completeness2/5

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

Given the lack of annotations and poor parameter documentation, the description fails to provide essential context. Although an output schema exists, the description does not explain return values. The tool's simplicity does not excuse the missing details.

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

Parameters1/5

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

The schema has a single parameter 'kwargs' with 0% description coverage, and the description adds no clarification. The agent has no information on what 'kwargs' should contain, such as the email ID or target folder.

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 action ('Move email') and the resource ('to another folder'). It distinguishes from sibling tools like 'copy_email' and 'delete_email' by specifying the operation.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. For example, it does not explain when to use 'move_email' instead of 'copy_email' or 'delete_email', leaving the agent without context for selection.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

ping_exchangeC

Check connectivity to Exchange

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.9/5.0
Behavior2/5

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

No annotations exist, so the description must carry the full burden. It says 'check connectivity' but does not explain whether it makes a live API call, what the response format is, or what happens on timeout/failure. The output schema exists but is not provided here.

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

Conciseness3/5

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

The description is extremely concise—only one short sentence—but it lacks necessary detail, especially about parameters. It is not a model of efficient communication.

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

Completeness2/5

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

Given the lack of annotations and poor parameter documentation, the description is incomplete. An agent cannot reliably invoke this tool without additional context about the kwargs structure.

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

Parameters1/5

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

The required parameter 'kwargs' is an object with zero schema description coverage (0%). The description provides no information about what keys or values 'kwargs' should contain, leaving the agent without guidance.

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 'Check connectivity to Exchange' clearly states the tool's purpose with a specific verb and resource. It distinctly differs from sibling tools like copy_email or create_contact.

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?

The purpose is straightforward, but no explicit guidance is given on when to use this tool versus alternatives or any preconditions. The simplicity somewhat mitigates this gap.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

reply_emailC

Reply to an email

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.3/5.0
Behavior2/5

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

With no annotations, the description carries full burden but only states the action. It fails to disclose behavioral traits such as whether the tool sends the reply immediately, requires authentication, or modifies the original email. No side effects or safety info.

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 description is a single short sentence, but it is under-specified. Conciseness should not come at the cost of clarity; more details are needed to make it useful.

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

Completeness1/5

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

Despite having an output schema and sibling tools, the description provides no information about return values, error handling, or prerequisites. The single parameter is opaque, making the tool definition incomplete for practical use.

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

Parameters1/5

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

The schema has one parameter, 'kwargs', with 0% description coverage. The description does not clarify what 'kwargs' expects or how to structure it, leaving the agent unable to correctly invoke the tool.

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 'Reply to an email' clearly states the action (reply) and resource (email), differentiating it from siblings like forward_email or create_draft. However, it does not specify whether it replies to all recipients or just the sender, leaving minor ambiguity.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like forward_email or send_draft. No prerequisites or context (e.g., must have an existing email thread) are mentioned.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

respond_to_inviteC

Respond to a calendar invite

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.2/5.0
Behavior2/5

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

No annotations provided, so description must carry full burden. It discloses no behavioral traits (e.g., side effects, idempotency, permissions). Only states the action without context.

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

Conciseness3/5

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

The description is a single sentence, which is concise, but it lacks sufficient substance. It is not well-structured to convey necessary details beyond the tool's basic function.

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

Completeness2/5

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

Given the tool's likely complexity (responding to an invite with a decision), the description is incomplete. It does not mention required input fields (e.g., invite ID, response type) or expected output, despite an output schema existing.

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

Parameters1/5

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

The input schema has a single generic 'kwargs' parameter with no description and 0% schema coverage. The description adds no meaning to this parameter, leaving agents with no guidance on what to provide.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states 'Respond to a calendar invite', which gives a verb and resource, but it's vague—does not specify whether it accepts, declines, or tentatively responds. It adds minimal information beyond the tool name.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus siblings like 'update_event' or 'create_event'. No prerequisites or exclusions provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_contactsD

Search contacts

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

D1.5/5.0
Behavior1/5

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

With no annotations and a minimal description, the tool's behavioral traits (e.g., search scope, pagination, output format) are entirely undisclosed. The description provides no value beyond the name.

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 description is extremely concise (two words) but fails to provide necessary context. It is underspecified rather than efficiently informative, earning a low score.

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

Completeness1/5

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

Given the complexity (30 sibling tools, no annotations, no schema coverage), the description is woefully incomplete. The presence of an output schema is not leveraged, and critical details are omitted.

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

Parameters1/5

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

The input schema has a single parameter 'kwargs' with 0% schema description coverage. The description adds no information about how to use this parameter or what values it expects, leaving the agent blind.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Search contacts' is a tautology that restates the tool name without adding specificity. It does not differentiate from sibling tools like 'get_contact' or 'search_emails', leaving ambiguity about scope or behavior.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives. There are no context signals or exclusions, requiring the agent to infer usage from the name alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

search_emailsD

Search emails

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

D1.8/5.0
Behavior1/5

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

No annotations are provided, and the description does not disclose any behavioral traits such as read-only nature, filtering capabilities, or return format. The tool's behavior remains completely opaque.

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?

At only two words, the description is too brief and lacks necessary detail. While concise, it sacrifices informativeness, which is not a positive attribute in this context.

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

Completeness1/5

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

Given the absence of annotations, minimal schema, and output schema not described, the description fails to provide adequate context for an AI agent to use the tool effectively. It is completely insufficient.

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

Parameters1/5

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

The input schema has one parameter 'kwargs' with 0% description coverage, and the description offers no explanation of its purpose or expected structure. The description adds no value beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description 'Search emails' is clear as a verb+resource, indicating the tool performs a search operation on emails. However, it does not differentiate from sibling tools like 'list_emails' or 'search_contacts', lacking specificity.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool over alternatives. For example, it does not clarify how 'search_emails' differs from 'list_emails' or 'search_contacts', leaving the AI agent without direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

send_draftC

Send a draft email

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.3/5.0
Behavior2/5

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

With no annotations, the description must disclose behavioral traits. It fails to mention side effects like whether the draft is deleted after sending, permission requirements, or any irreversible changes. The description only states the action without depth.

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?

While the description is short, it is under-specified rather than concise. It lacks critical details that could be added without increasing length significantly. Every sentence should earn its place, but this one does not provide enough value.

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

Completeness1/5

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

Given the tool's complexity (sending an email with side effects), the description is severely incomplete. It does not explain return values, error states, or behavior changes. Even with an output schema, the description should provide context about the sending process.

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

Parameters1/5

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

The input schema has a single parameter 'kwargs' with no description (0% coverage), and the description adds no information about what 'kwargs' should contain. This leaves the agent completely uninformed about required arguments.

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 'Send a draft email' clearly states the verb and resource, indicating the action of sending an email that was previously drafted. It distinguishes from siblings like 'send_email' which sends a new email, though it could be more explicit about operating on an existing draft.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives such as 'send_email' or 'create_draft'. It does not mention prerequisites like having a draft to send, which would help agents decide appropriately.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

send_emailC

Send a new email

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.4/5.0
Behavior2/5

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

No annotations provided; description fails to disclose behavioral traits like required permissions, side effects, or error conditions for a mutation operation.

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

Conciseness3/5

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

The description is very short but under-specified; it is concise but lacks structure and necessary detail.

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

Completeness2/5

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

For a tool that sends email, the description omits critical context like required fields, output behavior, and differences from siblings, making it incomplete despite an output schema.

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

Parameters1/5

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

Schema has a single parameter 'kwargs' with no description and 0% schema coverage. The description does not explain what keys or values are expected, adding no semantic value.

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 states the tool sends a new email, but does not differentiate it from sibling tools like forward_email or create_draft.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives such as create_draft or forward_email. No context provided.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

update_contactC

Update a personal contact

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.3/5.0
Behavior2/5

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

With no annotations, the description must fully disclose behavioral traits. It only says 'update' implying mutation, but does not mention whether updates are partial or full, required permissions, error handling, or side effects. This is insufficient for safe invocation.

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?

Extremely concise (one sentence) but at the expense of completeness. While every word earns its place, the description fails to provide necessary details, making it more under-specified than efficient.

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

Completeness1/5

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

Given one parameter with zero description coverage and no annotations, the description is woefully incomplete. It does not explain the return value (though an output schema exists), valid inputs for kwargs, or any constraints. The tool cannot be safely used.

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

Parameters1/5

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

The sole parameter 'kwargs' has no description in the schema (0% coverage), and the description provides no additional meaning. The agent has no idea what keys or values are expected, severely limiting the tool's usability.

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 'Update a personal contact' is a clear verb+resource statement. It identifies the action (update) and the target object (personal contact). However, it does not differentiate from sibling tools like update_event or update_contact's specific scope.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives like create_contact, delete_contact, or search_contacts. The description lacks any context about prerequisites, required IDs, or typical use cases.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

update_eventC

Update a calendar event

ParametersJSON Schema
NameRequiredDescriptionDefault
kwargsYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.5/5.0
Behavior2/5

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

The description only indicates mutation ('Update') but does not disclose side effects, required permissions, or what happens with overlapping updates. Given no annotations, the description carries the full burden and falls short.

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?

While the description is very short, it sacrifices essential information. It is under-specified rather than concise, failing to earn its place by being unhelpful.

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

Completeness1/5

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

Despite the existence of an output schema, the description does not hint at the return structure, and the parameter is opaque. For a tool that updates calendar events, this is severely incomplete.

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

Parameters1/5

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

The only parameter 'kwargs' has no description, no properties defined in the schema, and the description adds no meaning. With 0% schema description coverage, the agent has no clue what to pass.

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 action ('Update') and the resource ('a calendar event'), which is distinct from sibling tools like 'create_event' and 'delete_event'. It is specific and informative.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like 'respond_to_invite' or under what circumstances updating is appropriate. There is no mention of prerequisites or limitations.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 31 tool updatesv0.1.0
    • First observedcopy_email
    • First observedcreate_contact
    • First observedcreate_draft
    • First observedcreate_event
    • First observedcreate_folder
    • First observeddelete_contact
    • First observeddelete_email
    • First observeddelete_event
    • First observedfind_free_slots
    • First observedforward_email
    • First observedget_attachment
    • First observedget_contact
    • First observedget_email
    • First observedget_event
    • First observedget_mailbox_info
    • First observedget_my_availability
    • First observedlist_calendars
    • First observedlist_emails
    • First observedlist_events
    • First observedlist_folders
    • First observedmark_email
    • First observedmove_email
    • First observedping_exchange
    • First observedreply_email
    • First observedrespond_to_invite
    • First observedsearch_contacts
    • First observedsearch_emails
    • First observedsend_draft
    • First observedsend_email
    • First observedupdate_contact
    • First observedupdate_event

TDQS

C2.6/5.0

Scored across 31 tools

Disambiguation4/5

Most tools have distinct purposes, but `find_free_slots` and `get_my_availability` overlap in functionality (both deal with availability). Otherwise, email, calendar, and contact operations are clearly separated.

Naming Consistency5/5

All tool names follow a consistent `verb_noun` pattern in snake_case (e.g., `create_event`, `list_emails`, `send_email`). No mixing of conventions.

Tool Count3/5

With 31 tools, the server covers email, calendar, contacts, and folders comprehensively. However, the count is on the higher side for a single server, exceeding the typical 3–15 range, though still manageable.

Completeness4/5

The tool set provides CRUD for emails, events, contacts, and folders, plus search, send, reply, forward, and move. Minor gaps exist (e.g., no attachment creation, no folder update), but core workflows are well-covered.

Maintenance

ActivityActive
ResponsivenessUnresponsive

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