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outlook-ews-mcp

Python MCP Exchange Status License

outlook-ews-mcp ist ein MCP-Server für lokales Microsoft Exchange über EWS (exchangelib). Er bietet MCP-kompatiblen Clients (Claude Desktop, Claude Code und jedem anderen MCP-Client) Zugriff auf E-Mail, Kalender, Kontakte, Ordner, Anhänge und Verfügbarkeitsdaten über einen einzigen, testbaren Python-Dienst – ohne direkte Mailbox-Skripte.

Umbenannt von outlook-mcp. Dieser Name war auf PyPI bereits von einem unabhängigen Projekt belegt, daher heißen Distribution und CLI jetzt outlook-ews-mcp. Der Python-Importpfad ist unverändert. Bis zur ersten getaggten PyPI-Veröffentlichung installieren Sie aus diesem Repository wie unten gezeigt.

Inhalt

Related MCP server: owa-mail-mcp

Highlights

  • E-Mail – auflisten, suchen (Teilstring oder Advanced Query Syntax), lesen, senden, antworten, weiterleiten, verschieben, kopieren, löschen, markieren, kategorisieren, Massenaktionen, roher MIME-Export, Anhänge hinzufügen/löschen

  • System – Posteingangsregeln, Abwesenheitsnotiz (automatische Antworten), schreibgeschützte Delegiertenliste

  • Kalender – auflisten, erstellen, aktualisieren, löschen, auf Einladungen antworten, freie Zeitfenster finden, Kalender eines freigegebenen/delegierten Postfachs anzeigen, Raumfinder, Massenaktionen

  • Kontakte – suchen, lesen, erstellen, aktualisieren, löschen

  • Ordner & Anhänge – Ordner-CRUD und Anhangs-Download

  • Authentifizierung – NTLM und Basic gegen lokales Exchange

  • Transport – stdio und SSE

  • Architektur – zentrales Fehler-Mapping durch eine einzige ExchangeClient-Abstraktion (siehe Projektnotizen)

  • Sicherheit – ein datenschutzfreundlicherer Rauchtest standardmäßig (siehe Rauchtest)

  • Betrieb – Docker-Image sowie GitHub- und GitLab-CI/CD-Pipelines enthalten

Werkzeugkatalog

Jedes unten aufgeführte Werkzeug ist in tool_specs.py registriert, der einzigen Quelle der Wahrheit für Name, Beschreibung und Schema. Schreibgeschützt markiert Werkzeuge, die das Postfach nie verändern – sie erhalten mehr Parallelität (siehe Anfragewarteschlange) und können bedenkenlos spekulativ aufgerufen werden.

System

Werkzeug

Beschreibung

Schreibgeschützt

ping_exchange

Konnektivität zu Exchange prüfen

✅

get_mailbox_info

Postfach-Metadaten abrufen

✅

list_delegates

Postfach-Delegierte und deren Ordnerberechtigungsstufen auflisten – schreibgeschützt, da exchangelib keine Delegierten-Schreibunterstützung hat

✅

list_inbox_rules

Serverseitige Posteingangsregeln auflisten

✅

create_inbox_rule

Serverseitige Posteingangsregel erstellen, z. B. „von diesem Absender → in Ordner verschieben“

update_inbox_rule

Regel aktivieren/deaktivieren oder Priorität ändern (andere Felder sind hier nicht aktualisierbar)

delete_inbox_rule

Serverseitige Posteingangsregel per ID löschen

get_out_of_office

Abwesenheitsnotiz-Einstellungen (automatische Antworten) abrufen

✅

set_out_of_office

Automatische Antworten deaktivieren, aktivieren oder ein Start-/Endfenster planen

⚠️ create_inbox_rule / update_inbox_rule / delete_inbox_rule verwalten Regeln über EWS, wodurch der clientseitige Regel-Blob entfernt wird, den Desktop-Outlook behält – dies kann Regeln löschen, die ein Benutzer in Outlook selbst erstellt hat. Dies ist dokumentiertes EWS-Verhalten, kein Fehler hier.

E-Mail

Werkzeug

Beschreibung

Schreibgeschützt

list_emails

E-Mails in einem Ordner auflisten

✅

get_email

Vollständige E-Mail per ID abrufen

✅

get_email_mime

Rohen RFC-822-MIME-Inhalt einer Nachricht exportieren, base64-kodiert

✅

get_thread

Alle Nachrichten einer Unterhaltung in Reihenfolge abrufen, einschließlich Textkörper

✅

search_emails

Nach Teilstring (Betreff/Text/Absender) oder serverseitiger Advanced Query Syntax suchen

✅

send_email

Neue E-Mail senden

reply_email

Auf eine E-Mail antworten

forward_email

E-Mail weiterleiten

move_email

E-Mail in einen anderen Ordner verschieben

copy_email

E-Mail in einen anderen Ordner kopieren

move_emails

Massenverschieben mit Ergebnissen pro Element – eine fehlerhafte ID lässt den Rest nicht scheitern

copy_emails

Massenkopieren mit Ergebnissen pro Element

delete_emails

Massenlöschen mit Ergebnissen pro Element (weiches Löschen, außer hard_delete)

delete_email

E-Mail löschen

mark_email

Gelesen-Status, Wichtigkeit oder Folgekennzeichnung aktualisieren

categorize_email

Outlook-Kategorien (die farbigen Bezeichnungen) setzen, hinzufügen oder entfernen

mark_emails

Massenversion von mark_email, mit Ergebnissen pro Element

categorize_emails

Massenversion von categorize_email, mit Ergebnissen pro Element

list_categories

Verwendete Kategorien mit Anzahl auflisten, aus aktuellen Nachrichten gesampelt (nicht die Postfach-Masterkategorieliste)

✅

list_folders

Postfachordner auflisten

✅

create_folder

Postfachordner erstellen

rename_folder

Ordner umbenennen – verweigert integrierte Ordner (Posteingang, Gesendete Elemente, Kalender, ...)

delete_folder

Ordner und alles darin löschen – verweigert integrierte Ordner

create_draft

E-Mail-Entwurf erstellen

update_draft

Entwurf aktualisieren; weggelassene Felder bleiben unverändert, attachments (falls angegeben) ersetzt den gesamten Satz

send_draft

Vorhandenen Entwurf senden

add_attachment

Lokale Datei an eine Nachricht anhängen, typischerweise einen Entwurf – die Datei muss unter EXCHANGE_ATTACHMENT_ROOT liegen

delete_attachment

Einen Anhang per ID aus einer Nachricht entfernen

get_attachment

Anhang auf der Festplatte speichern

✅

Kalender

Tool

Beschreibung

Schreibgeschützt

list_events

Kalenderereignisse in einem Zeitraum auflisten; mailbox für den Standardkalender eines Kollegen übergeben (erfordert Delegaten-/Identitätswechsel-Zugriff, nicht mit calendar_id kombinierbar)

✅

get_event

Kalenderereignis per ID abrufen; mailbox für den Kalender eines Kollegen übergeben

✅

create_event

Kalenderereignis erstellen

update_event

Kalenderereignis aktualisieren

delete_event

Kalenderereignis löschen

respond_to_invite

Einladung annehmen, ablehnen oder vorläufig beantworten

find_free_slots

Freie Meeting-Zeitfenster finden

✅

delete_events

Ereignisse in Bulk löschen, mit Ergebnissen pro Element

respond_to_invites

In Bulk auf Einladungen antworten, mit Ergebnissen pro Element

get_my_availability

Frei/Gebucht-Zeitfenster abrufen; mailbox für den Kalender eines Kollegen übergeben

✅

list_calendars

Kalender auflisten

✅

list_room_lists

Room-Finder-Raumlisten (Gruppen von Besprechungsräumen) auflisten

✅

list_rooms

Besprechungsräume in einer Room-Finder-Raumliste auflisten

✅

Kontakte

Tool

Beschreibung

Schreibgeschützt

search_contacts

Kontakte durchsuchen

✅

get_contact

Kontakt per ID abrufen

✅

create_contact

Persönlichen Kontakt erstellen

update_contact

Persönlichen Kontakt aktualisieren

delete_contact

Persönlichen Kontakt löschen

Typische Anwendungsfälle

  • Claude Desktop oder einen anderen MCP-Client mit lokalem Exchange verbinden

  • Posteingangsnachrichten durchsuchen und vollständigen E-Mail-Inhalt abrufen

  • E-Mails aus KI-Workflows senden oder entwerfen

  • Kalender einsehen und Besprechungen erstellen

  • Frei/Gebucht-Zeitfenster für die Terminplanung prüfen

  • Persönliche Kontakte oder die globale Adressliste durchsuchen

  • Exchange-Operationen über eine kontrollierte MCP-Grenze bereitstellen, statt direkt per Skript auf Postfächer zuzugreifen

Sicherheitshinweise

Was der aktuelle Code tut:

Eingeschränkte Konnektivität

Verbindet sich nur mit dem in EXCHANGE_SERVER konfigurierten Exchange/EWS-Endpunkt

Keine Telemetrie

Enthält keine Telemetrie-, Analyse- oder Drittanbieter-Datenexportlogik

Geheimnisse bleiben lokal

Bewahrt Geheimnisse in Umgebungsvariablen / .env auf, die von .gitignore ignoriert werden (.env, .env.*, während .env.example erhalten bleibt)

Saubere Fehlerantworten

Strukturierte MCP-Fehlerantworten enthalten niemals rohen Exchange-Ausnahmetext, Nachrichtentexte, Anhängeinhalte oder Passwörter; erfolgreiche Tools geben nur die angeforderten Postfachdaten zurück

Saubere Protokolle

LOG_LEVEL steuert nur die eigenen outlook_mcp.*-Logger der App; die SOAP-XML-Logger von exchangelib – die andernfalls vollständiges Anfrage-/Antwort-XML ausgeben würden, selbst bei ERROR-Level bei Transportfehlern – werden immer zwangsweise stummgeschaltet

Saubere Docker-Builds

.dockerignore schließt .env, Tests, Caches und VCS-Metadaten aus dem Build-Kontext aus

Worauf Sie weiterhin achten sollten:

  • EXCHANGE_VERIFY_SSL=false deaktiviert die TLS-Zertifikatsprüfung – nur für vertrauenswürdige interne/self-signed Umgebungen.

  • EXCHANGE_AUTH_TYPE=Basic sendet Anmeldedaten im Klartext, daher weigert sich der Server, gegen einen http://-EXCHANGE_SERVER zu starten; nur mit EXCHANGE_ALLOW_INSECURE_BASIC_AUTH=true für einen lokalen/Test-Server, den Sie kontrollieren, überschreiben.

  • get_attachment schreibt Dateien auf die Festplatte, und send_email/reply_email/forward_email/ create_draft lesen lokale Dateien (über attachments) und hängen deren Inhalte an ausgehende E-Mails an. In Kombination mit nicht vertrauenswürdigem E-Mail-Inhalt ist dies ein plausibler Weg für prompt-injizierte Exfiltration beliebiger Dateien, die der Prozess lesen kann. Lokaler Dateizugriff ist standardmäßig verweigert und funktioniert erst, wenn EXCHANGE_ATTACHMENT_ROOT auf ein absolutes Verzeichnis gesetzt ist, das dann sowohl attachments-Pfade als auch save_path von get_attachment's auf diesen Verzeichnisbaum beschränkt (ein nicht gesetztes save_path fällt weiterhin auf das System-Temp-Verzeichnis zurück).

  • outlook-ews-mcp-smoke ist standardmäßig datenschutzsicher und gibt nur maskierte Postfachinformationen plus Zähler aus; setzen Sie OUTLOOK_MCP_SMOKE_INCLUDE_DATA=true nur, wenn Sie explizit echte Posteingangs-/Ereignisdaten in stdout möchten.

  • Wenn Sie Dateiprotokollierung mit LOG_FILE aktivieren, schützen Sie diese Datei mit Betriebssystemberechtigungen.

  • Wenn Sie Docker-Images aus CI veröffentlichen, schützen Sie den GitLab/GitHub-Projektzugriff und die Registry-Berechtigungen.

Schnellstart

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

Standardmäßig läuft der Server im stdio-Modus. Setzen Sie MCP_TRANSPORT=sse, um stattdessen einen HTTP-Server zu starten.

Konfiguration

Minimale .env für den Einstieg – alles andere unten hat einen funktionierenden Standardwert:

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

Eine vollständig kommentierte Kopie jeder Variable befindet sich in .env.example.

Variable

Standard

Beschreibung

EXCHANGE_SERVER

(erforderlich)

EWS-Endpunkt-URL, z. B. https://mail.company.com/EWS/Exchange.asmx

EXCHANGE_USERNAME

(erforderlich)

DOMAIN\username oder ein UPN. Genau ein Backslash — dotenv verarbeitet keine Escape-Sequenzen

EXCHANGE_PASSWORD

(erforderlich)

Kontopasswort

EXCHANGE_EMAIL_ADDRESS

nicht gesetzt

SMTP-Adresse; setzen, wenn EXCHANGE_USERNAME keine ist

EXCHANGE_AUTH_TYPE

NTLM

NTLM oder Basic

EXCHANGE_ALLOW_INSECURE_BASIC_AUTH

false

Basic-Authentifizierung über http:// erlauben — nur für lokale/Test-Server

EXCHANGE_VERIFY_SSL

true

TLS-Zertifikat des Servers verifizieren; false nur für vertrauenswürdige interne/selbstsignierte Umgebungen

EXCHANGE_VERSION

nicht gesetzt (auto-erkannt)

Exchange-Serverversion, z. B. EXCHANGE_2016

EXCHANGE_TIMEZONE_FALLBACK

Europe/Moscow

Wird nur verwendet, wenn Exchange eine nicht auflösbare GUID-Zeitzonen-ID meldet; im Normalbetrieb wird die Standardzeitzone des Postfachs verwendet

EXCHANGE_TIMEOUT

30

Timeout pro Anfrage in Sekunden (1–300)

EXCHANGE_MAX_RETRY_WAIT_SECONDS

90

Wanduhr-Retry-Budget für schreibgeschützte Aufrufe, wenn Exchange sich selbst als ausgelastet meldet, keine Retry-Anzahl; 0 deaktiviert Retries. Schreibvorgänge werden nie automatisch wiederholt

EXCHANGE_IMPERSONATE_AS

nicht gesetzt

Postfach, das imitiert werden soll (erfordert Exchange-Impersonierungsberechtigungen)

EXCHANGE_ATTACHMENT_MAX_SIZE_MB

10

Maximale Größe pro Anhang, durchgesetzt sowohl beim Hochladen als auch beim get_attachment-Download (1–100)

EXCHANGE_ATTACHMENT_MAX_COUNT

10

Maximale Anzahl von Anhängen bei einem einzelnen Senden/Antworten/Weiterleiten/create_draft-Aufruf (1–100)

EXCHANGE_ATTACHMENT_MAX_TOTAL_SIZE_MB

25

Maximale kombinierte Anhangsgröße bei einem einzelnen Aufruf (1–500)

EXCHANGE_ATTACHMENT_ROOT

nicht gesetzt (deaktiviert)

Verzeichnis, das Anhangspfade begrenzt. Nicht gesetzt verweigert jeglichen lokalen Dateizugriff für attachments/save_path; auf ein absolutes Verzeichnis setzen, um Pfade darin zu erlauben

EXCHANGE_EMAIL_BODY_MAX_CHARS

200000

Obergrenze für get_email's body_text/body_html (1.000–5.000.000); längere Texte werden mit truncated: true abgeschnitten

EXCHANGE_EMAIL_MIME_MAX_SIZE_MB

25

Obergrenze für die Roh-MIME-Exportgröße vor der base64-Erweiterung (1–100)

EXCHANGE_SIGNATURE_TEXT

nicht gesetzt

Wird an ausgehende Textnachrichten und Antworten/Weiterleitungen angehängt. Es gibt keine EWS-Signatur-API, daher ist dies Konfiguration, nicht die Outlook-Signatur des Postfachs

EXCHANGE_SIGNATURE_HTML

nicht gesetzt

Wird an ausgehende HTML-Nachrichten angehängt. Gleicher Vorbehalt wie oben; keine Konvertierung zwischen den beiden. Beide können pro Aufruf mit include_signature: false übersprungen werden

MCP_TRANSPORT

stdio

stdio oder sse

MCP_SSE_HOST

127.0.0.1

Bind-Host, wenn MCP_TRANSPORT=sse

MCP_SSE_PORT

8080

Bind-Port, wenn MCP_TRANSPORT=sse

MCP_MAX_CONCURRENCY

4

Gleichzeitige schreibgeschützte Tool-Aufrufe (1–8); mutierende Aufrufe laufen immer exklusiv. Siehe Anfragewarteschlange

MCP_MAX_QUEUE_SIZE

20

Maximale Anzahl gleichzeitig zugelassener Aufrufe, laufend + wartend (1–1000); darüber hinaus erhalten Aufrufe sofort einen server_busy-Fehler

LOG_LEVEL

INFO

DEBUG, INFO, WARNING oder ERROR

LOG_FILE

nicht gesetzt (stderr)

Pfad zur Logdatei; bei Setzen mit Betriebssystem-Berechtigungen schützen

Verhaltenshinweise, die nicht an eine einzelne Variable gebunden sind:

  • list_events und find_free_slots akzeptieren ein begrenztes limit (Standard 200, Maximum 1000); Ereigniszeiträume sind auf 366 Tage und Zeitfenster für freie Slots auf 31 Tage begrenzt, sodass breite Abfragen keine unbegrenzten EWS- oder MCP-Antworten erzeugen können.

  • Auflistungen bleiben bewusst schlank: E-Mail-Zusammenfassungen enthalten den Absender, aber keine Empfängerlisten (get_email hat sie), list_events gibt Ereignisse ohne Textkörper zurück (get_event hat sie), und get_email gibt RFC-822-Header nur mit include_headers: true zurück.

  • Sendevorgänge geben id: null zurück, wenn EWS keine dauerhafte ID für die gesendete Kopie bereitstellt (insbesondere Antworten, Weiterleitungen und gesendete Entwürfe).

  • Anhangsmetadaten enthalten downloadable; eingebettete Exchange-Elementanhänge haben downloadable: false und können nicht mit get_attachment gespeichert werden.

Anfragewarteschlange

Clients geben mehrere Tool-Aufrufe parallel aus. Exchange-Arbeit ist blockierend, daher führt der Server sie in Worker-Threads aus und lässt Aufrufe über eine gemeinsame FIFO-Warteschlange zu.

  • MCP_MAX_CONCURRENCY (Standard 4) legt fest, wie viele schreibgeschützte Aufrufe gleichzeitig laufen, sodass ein Agent, der eine E-Mail, die Ordnerliste und den Kalender anfordert, die langsamste Roundtrip-Zeit zahlt statt der Summe. Mutierende Aufrufe laufen immer exklusiv — einer nach dem anderen, nie überlappend mit einem Lesevorgang — sodass Lese-/Schreib-Wettläufe auf gemeinsamen Kontozustand nicht auftreten können. Aufrufer über dem Limit warten, in der Reihenfolge ihres Eintreffens; ein wartender Schreibvorgang verhindert, dass spätere Lesevorgänge ihn überholen.

  • MCP_MAX_QUEUE_SIZE (Standard 20) begrenzt, wie viele Aufrufe gleichzeitig zugelassen werden können, laufend oder wartend. Sobald so viele bereits in der Warteschlange sind, erhalten weitere Aufrufe sofort einen server_busy-Fehler, statt sich einer unbegrenzten Warteschlange anzuschließen.

  • Der Transport bleibt reaktionsfähig, während Arbeit läuft. Tools werden awaited statt auf dem Event-Loop-Thread ausgeführt, sodass fertige Antworten sofort hinausgehen und Pings beantwortet werden, während ein langer Aufruf noch läuft.

  • Es gibt bewusst kein Timeout pro Aufruf. Ein Thread, der auf einem Socket-Read blockiert, kann von außen nicht beendet werden; die Laufzeit kann nur aufhören, auf ihn zu warten, was den Thread zusammen mit der EWS-Sitzung, die er hält, aufgibt. Der Sitzungspool von exchangelib hat ein hartes Maximum und gibt Sitzungen in einer Schleife ohne Aufgabepfad aus, sodass verlorene Sitzungen ihn schließlich aushungern und jeder spätere Aufruf für immer blockiert. Ein langsamer Aufruf wird stattdessen ausgesessen, begrenzt durch EXCHANGE_TIMEOUT plus EXCHANGE_MAX_RETRY_WAIT_SECONDS: Die Retry-Richtlinie des Kontos ist Fail-Fast, sodass jeder EWS-Aufruf bei seinem ersten transienten Fehler eine Ausnahme auslöst, statt dass exchangelib intern endlos wiederholt, und ExchangeClient wiederholt selbst nur schreibgeschützte Aufrufe, begrenzt durch dieses Wanduhr-Budget. Schreibvorgänge werden nie automatisch wiederholt. Überschreitungen über das erwartete Budget hinaus werden protokolliert.

Claude Desktop-Beispiel

{
  "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"
      }
    }
  }
}

Smoke-Check

Nach dem Ausfüllen von .env ausführen:

outlook-ews-mcp-smoke

Die Standardausgabe wird zur sichereren Überprüfung bereinigt. Wenn Sie absichtlich Beispieldaten für Postfach/Ereignisse in der Ausgabe wünschen:

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 und GitLab CI führen beide Lint, Formatierung, Typprüfungen, Tests, Abhängigkeitsaudit und Paket-Builds aus, unter Verwendung der in pyproject.toml festgelegten uv-Version.

GitHub

Veröffentlicht zusätzlich getaggte Releases (v*) auf PyPI über OIDC Trusted Publishing. Vor dem ersten Release einen PyPI-Pending-Publisher für Repository viartemev/outlook-ews-mcp, Workflow ci.yml und Umgebung pypi konfigurieren — es wird kein langlebiges PyPI-Token in GitHub gespeichert.

GitLab

Erstellt und pusht zusätzlich ein Docker-Image in die GitLab Container Registry auf dem Standard-Branch und auf Tags, unter Verwendung der eingebauten Variablen CI_REGISTRY / CI_REGISTRY_USER / CI_REGISTRY_PASSWORD / CI_REGISTRY_IMAGE.

Standardmäßiges Image-Tagging-Verhalten:

Auslöser

Gepushte Tags

Standard-Branch

:$CI_COMMIT_SHORT_SHA und :latest

Git-Tag

:$CI_COMMIT_TAG

Entwicklung

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

Projektnotizen

  • Die Implementierung ist um eine einzige ExchangeClient-Abstraktion zentriert, sodass Authentifizierung, Transport, Retries und Fehlerzuordnung zentralisiert bleiben.

  • Fehler werden in einer strukturierten JSON-Form zurückgegeben, die für die MCP-isError=true-Behandlung geeignet ist.

Mitwirken

Fehlerberichte und PRs sind willkommen — siehe CONTRIBUTING.md für die Einrichtung einer Entwicklungsumgebung und das Ausführen der Testsuite ohne einen echten Exchange-Server. Für Sicherheitsmeldungen siehe SECURITY.md.

Lizenz

MIT — siehe 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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