GitHub Enterprise MCP Server
GitHub Enterprise MCP Server
Ein MCP-Server (Model Context Protocol) zur Integration mit der GitHub Enterprise API. Dieser Server bietet eine MCP-Schnittstelle für den einfachen Zugriff auf Repository-Informationen, Probleme, PRs und mehr von GitHub Enterprise in Cursor.
Kompatibilität
Dieses Projekt ist in erster Linie für GitHub Enterprise Server-Umgebungen konzipiert, funktioniert aber auch mit:
GitHub.com
GitHub Enterprise Cloud
Hinweis : Einige unternehmensspezifische Funktionen (wie Lizenzinformationen und Unternehmensstatistiken) funktionieren nicht mit GitHub.com oder GitHub Enterprise Cloud.
Related MCP server: GitHub CLI MCP Server
Hauptmerkmale
Abrufen der Repository-Liste von GitHub Enterprise-Instanzen
Erhalten Sie detaillierte Repository-Informationen
Repository-Zweige auflisten
Datei- und Verzeichnisinhalte anzeigen
Probleme und Pull Requests verwalten
Repository-Verwaltung (Erstellen, Aktualisieren, Löschen)
Verwaltung von GitHub Actions-Workflows
Benutzerverwaltung (Benutzer auflisten, erstellen, aktualisieren, löschen, sperren/entsperren)
Zugriff auf Unternehmensstatistiken
Verbesserte Fehlerbehandlung und benutzerfreundliche Antwortformatierung
Erste Schritte
Voraussetzungen
Node.js 18 oder höher
Zugriff auf eine GitHub Enterprise-Instanz
Persönlicher Zugriffstoken (PAT)
Docker-Installation und -Einrichtung
Option 1: Ausführen mit Docker
Erstellen Sie das Docker-Image:
docker build -t github-enterprise-mcp .Führen Sie den Docker-Container mit Umgebungsvariablen aus:
docker run -p 3000:3000 \ -e GITHUB_TOKEN="your_github_token" \ -e GITHUB_ENTERPRISE_URL="https://github.your-company.com/api/v3" \ -e DEBUG=true \ github-enterprise-mcp
Hinweis : Das Dockerfile ist standardmäßig für die Ausführung mit
--transport httpkonfiguriert. Falls Sie dies ändern möchten, können Sie den folgenden Befehl überschreiben:
docker run -p 3000:3000 \
-e GITHUB_TOKEN="your_github_token" \
-e GITHUB_ENTERPRISE_URL="https://github.your-company.com/api/v3" \
-e DEBUG=true \
github-enterprise-mcp node dist/index.js --transport http --debugOption 2: Verwenden von Docker Compose
Erstellen Sie im Projektstammverzeichnis eine
.envDatei mit den erforderlichen Umgebungsvariablen:GITHUB_ENTERPRISE_URL=https://github.your-company.com/api/v3 GITHUB_TOKEN=your_github_token DEBUG=trueStarten Sie den Container mit Docker Compose:
docker-compose up -dÜberprüfen Sie die Protokolle:
docker-compose logs -fStoppen Sie den Container:
docker-compose down
Installation und Einrichtung
Lokale Entwicklung (unter Verwendung des Parallelmodus)
Diese Methode wird für die aktive Entwicklung mit automatischer Neukompilierung und Serverneustarts empfohlen:
Klonen Sie das Repository und installieren Sie die erforderlichen Pakete:
git clone https://github.com/ddukbg/github-enterprise-mcp.git cd github-enterprise-mcp npm installFühren Sie den Entwicklungsserver aus:
export GITHUB_TOKEN="your_github_token" export GITHUB_ENTERPRISE_URL="https://github.your-company.com/api/v3" npm run devDies wird:
TypeScript-Code automatisch kompilieren, wenn sich Dateien ändern
Starten Sie den Server neu, wenn kompilierte Dateien aktualisiert werden
Führen Sie den Server im HTTP-Modus für URL-basierte Verbindungen aus
Stellen Sie im URL-Modus eine Verbindung zum Cursor her, wie unten beschrieben
Installation und Einrichtung für die Produktion
Option 1: Verwenden des URL-Modus (empfohlen für die lokale Entwicklung)
Diese Methode ist die stabilste und wird für die lokale Entwicklung oder Tests empfohlen:
Klonen Sie das Repository und installieren Sie die erforderlichen Pakete:
git clone https://github.com/ddukbg/github-enterprise-mcp.git cd github-enterprise-mcp npm installErstellen Sie das Projekt:
npm run build chmod +x dist/index.jsFühren Sie den Server aus:
export GITHUB_TOKEN="your_github_token" export GITHUB_ENTERPRISE_URL="https://github.your-company.com/api/v3" node dist/index.js --transport http --debugStellen Sie im URL-Modus eine Verbindung zum Cursor her:
Fügen Sie der Datei
.cursor/mcp.jsonIhres Cursors Folgendes hinzu:
{ "mcpServers": { "github-enterprise": { "url": "http://localhost:3000/sse" } } }
Option 2: Als globalen Befehl installieren (npm-Link)
Diese Methode ist für die lokale Entwicklung nützlich:
# After cloning the repository
git clone https://github.com/ddukbg/github-enterprise-mcp.git
cd github-enterprise-mcp
# Install required packages
npm install
# Build
npm run build
chmod +x dist/index.js
# Link globally
npm link
# Run as a global command
export GITHUB_TOKEN="your_github_token"
export GITHUB_ENTERPRISE_URL="https://github.your-company.com/api/v3"
github-enterprise-mcp --transport=http --debugOption 3: Verwenden von npx (wenn das Paket veröffentlicht ist)
Wenn das Paket im öffentlichen npm-Register veröffentlicht wird:
npx @ddukbg/github-enterprise-mcp --token=your_github_token --github-enterprise-url=https://github.your-company.com/api/v3Integration mit KI-Tools
Claude Desktop
Fügen Sie Ihrer claude_desktop_config.json Folgendes hinzu:
{
"mcpServers": {
"github-enterprise": {
"command": "npx",
"args": ["-y", "@ddukbg/github-enterprise-mcp", "--token=YOUR_GITHUB_TOKEN", "--github-enterprise-url=YOUR_GITHUB_ENTERPRISE_URL"]
}
}
}Ersetzen Sie YOUR_GITHUB_TOKEN und YOUR_GITHUB_ENTERPRISE_URL durch Ihre tatsächlichen Werte.
Cursor
Empfohlen: URL-Modus (am stabilsten)
Für den zuverlässigsten Betrieb im Cursor wird die Verwendung des URL-Modus empfohlen:
Starten Sie den Server in einem separaten Terminalfenster:
cd /path/to/github-enterprise-mcp GITHUB_ENTERPRISE_URL="https://github.your-company.com/api/v3" GITHUB_TOKEN="your_github_token" node dist/index.js --transport httpKonfigurieren Sie die MCP-Einstellungen des Cursors:
Öffnen Sie Cursor und gehen Sie zu Einstellungen
Navigieren Sie zu AI > MCP-Server
Bearbeiten Sie Ihre
.cursor/mcp.json-Datei:
{ "mcpServers": { "github-enterprise": { "url": "http://localhost:3000/sse" } } }Starten Sie den Cursor neu, um die Änderungen zu übernehmen
Alternative: Befehlsmodus
Alternativ können Sie Cursor für die Verwendung des Befehlsmodus konfigurieren, obwohl der URL-Modus zuverlässiger ist:
Öffnen Sie Cursor und gehen Sie zu Einstellungen
Navigieren Sie zu AI > MCP-Server
Klicken Sie auf MCP-Server hinzufügen
Geben Sie die folgenden Details ein:
Name : GitHub Enterprise
Befehl :
npxArgumente :
@ddukbg/github-enterprise-mcpUmgebungsvariablen :
GITHUB_ENTERPRISE_URL: Ihre GitHub Enterprise API-URLGITHUB_TOKEN: Ihr persönlicher GitHub-Zugriffstoken
Alternativ können Sie Ihre .cursor/mcp.json Datei manuell bearbeiten, um Folgendes einzuschließen:
{
"mcpServers": {
"github-enterprise": {
"command": "npx",
"args": [
"@ddukbg/github-enterprise-mcp"
],
"env": {
"GITHUB_ENTERPRISE_URL": "https://github.your-company.com/api/v3",
"GITHUB_TOKEN": "your_github_token"
}
}
}
}Sprachkonfiguration
Dieser MCP-Server unterstützt sowohl Englisch als auch Koreanisch. Sie können die Sprache wie folgt konfigurieren:
Umgebungsvariablen
# Set language to Korean
export LANGUAGE=ko
# Or in .env file
LANGUAGE=koBefehlszeilenargumente
# Set language to Korean
node dist/index.js --language koDie Standardsprache ist Englisch, wenn nicht anders angegeben.
Zusätzliche Optionen im HTTP-Modus
--debug: Debug-Protokollierung aktivieren--github-enterprise-url <URL>: URL der GitHub Enterprise API festlegen--token <TOKEN>: Persönliches GitHub-Zugriffstoken festlegen--language <LANG>: Sprache festlegen (en oder ko, Standard: en)
Verfügbare MCP-Tools
Dieser MCP-Server bietet die folgenden Tools:
Werkzeugname | Beschreibung | Parameter | Erforderliche PAT-Berechtigungen |
| Abrufen der Repository-Liste für einen Benutzer oder eine Organisation |
|
|
| Erhalten Sie detaillierte Repository-Informationen |
|
|
| Auflisten von Zweigen eines Repositorys |
|
|
| Abrufen von Datei- oder Verzeichnisinhalten |
|
|
| Auflisten von Pull Requests in einem Repository |
|
|
| Abrufen von Pull-Request-Details |
|
|
| Erstellen einer neuen Pull-Anfrage |
|
|
| Zusammenführen einer Pull-Anfrage |
|
|
| Auflisten von Problemen in einem Repository |
|
|
| Abrufen von Problemdetails |
|
|
| Auflisten von Kommentaren zu einem Problem oder Pull Request |
|
|
| Neues Problem erstellen |
|
|
| Erstellen eines neuen Repositorys |
|
|
| Aktualisieren der Repository-Einstellungen |
|
|
| Löschen eines Repositorys |
|
|
| GitHub Actions-Workflows auflisten |
|
|
| Auflisten von Workflow-Ausführungen |
|
|
| Auslösen eines Workflows |
|
|
| Informationen zur GitHub Enterprise-Lizenz erhalten | - | Erfordert ein Site_Admin-Konto (Administrator) |
| Holen Sie sich GitHub Enterprise-Systemstatistiken | - | Erfordert ein Site_Admin-Konto (Administrator) |
Hinweis : Für unternehmensspezifische Tools (
get-license-infoundget-enterprise-stats) ist ein Benutzer mit Site-Administratorrechten erforderlich. Ein klassischer persönlicher Zugriffstoken wird empfohlen, da feinkörnige Token diese Berechtigungen auf Unternehmensebene möglicherweise nicht unterstützen.
Verwenden der Werkzeuge im Cursor
Sobald Sie den MCP-Server eingerichtet und Cursor für die Verbindung konfiguriert haben, können Sie die GitHub Enterprise-Tools direkt im KI-Chat von Cursor verwenden. Hier sind einige Beispiele:
Auflisten von Repositories
mcp_github_enterprise_list_repositories(owner="octocat")Abrufen von Repository-Informationen
mcp_github_enterprise_get_repository(owner="octocat", repo="hello-world")Auflisten von Pull Requests
mcp_github_enterprise_list_pull_requests(owner="octocat", repo="hello-world", state="open")Probleme verwalten
# List issues
mcp_github_enterprise_list_issues(owner="octocat", repo="hello-world", state="all")
# Get issue details
mcp_github_enterprise_get_issue(owner="octocat", repo="hello-world", issue_number=1)
# Get issue/PR comments
mcp_github_enterprise_list_issue_comments(owner="octocat", repo="hello-world", issue_number=1)
# Create a new issue
mcp_github_enterprise_create_issue(
owner="octocat",
repo="hello-world",
title="Found a bug",
body="Here is a description of the bug",
labels=["bug", "important"]
)Arbeiten mit Repository-Inhalten
mcp_github_enterprise_get_content(owner="octocat", repo="hello-world", path="README.md")Repository-Verwaltung
# Create a new repository
mcp_github_enterprise_create_repository(
name="new-project",
description="This is a new project",
private=true,
auto_init=true
)
# Update repository settings
mcp_github_enterprise_update_repository(
owner="octocat",
repo="hello-world",
description="Updated description",
has_issues=true
)Benutzerverwaltung (nur Enterprise)
Diese Funktionen sind speziell für GitHub Enterprise Server-Umgebungen konzipiert und erfordern Administratorberechtigungen:
# List all users in the GitHub Enterprise instance
mcp_github_enterprise_list_users(filter="active", per_page=100)
# Get a specific user's details
mcp_github_enterprise_get_user(username="octocat")
# Create a new user (Enterprise only)
mcp_github_enterprise_create_user(
login="newuser",
email="newuser@example.com",
name="New User",
company="ACME Inc."
)
# Update a user's information (Enterprise only)
mcp_github_enterprise_update_user(
username="octocat",
email="updated-email@example.com",
location="San Francisco"
)
# Suspend a user (Enterprise only)
mcp_github_enterprise_suspend_user(
username="octocat",
reason="Violation of terms of service"
)
# Unsuspend a user (Enterprise only)
mcp_github_enterprise_unsuspend_user(username="octocat")
# List organizations a user belongs to
mcp_github_enterprise_list_user_orgs(username="octocat")API-Verbesserungen
Flexible API-URL-Konfiguration (unterstützt verschiedene Umgebungsvariablen und Befehlszeilenargumente)
Verbesserte Fehlerbehandlung und Timeout-Verwaltung
Benutzerfreundliche Antwortformatierung und Nachrichten
Beitragen
Beiträge sind willkommen! Senden Sie gerne einen Pull Request.
Lizenz
ISC
Available Tools
28 toolscreate-issueD
| Name | Required | Description | Default |
|---|---|---|---|
| body | No | Issue content | |
| repo | Yes | Repository name | |
| owner | Yes | Repository owner (user or organization) | |
| title | Yes | Issue title | |
| labels | No | Label list | |
| assignees | No | Assignee list | |
| milestone | No | Milestone ID |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create-pull-requestD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner (user or organization) | |
| repo | Yes | Repository name | |
| title | Yes | Pull request title | |
| head | Yes | Head branch (e.g., 'username:feature' or just 'feature' for same repo) | |
| base | Yes | Base branch (e.g., 'main') | |
| body | No | Pull request description | |
| draft | No | Create as draft PR |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create-repositoryD
| Name | Required | Description | Default |
|---|---|---|---|
| name | Yes | Repository name | |
| description | No | Repository description | |
| private | No | Whether the repository is private | |
| auto_init | No | Initialize with README | |
| gitignore_template | No | Add .gitignore template | |
| license_template | No | Add a license template | |
| org | No | Organization name (if creating in an organization) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
create-userD
| Name | Required | Description | Default |
|---|---|---|---|
| bio | No | Biography for the user | |
| blog | No | URL of the user's blog or website | |
| name | No | Full name for the user | |
| Yes | The email address for the user | ||
| login | Yes | The username for the user | |
| company | No | Company for the user | |
| location | No | Location for the user | |
| twitter_username | No | Twitter username for the user |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete-repositoryD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner | |
| repo | Yes | Repository name | |
| confirm | Yes | Confirmation for deletion (must be true) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
delete-userD
| Name | Required | Description | Default |
|---|---|---|---|
| username | Yes | Username of the user to delete |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-contentD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | User or organization name | |
| repo | Yes | Repository name | |
| path | Yes | File or directory path | |
| ref | No | Branch or commit hash (default: default branch) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-enterprise-statsD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-issueD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner (user or organization) | |
| repo | Yes | Repository name | |
| issue_number | Yes | Issue number |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-license-infoD
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-pull-requestD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner (user or organization) | |
| repo | Yes | Repository name | |
| pull_number | Yes | Pull request number |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-repositoryD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | User or organization name | |
| repo | Yes | Repository name |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
get-userD
| Name | Required | Description | Default |
|---|---|---|---|
| username | Yes | Username of the user to retrieve |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-branchesD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | User or organization name | |
| repo | Yes | Repository name | |
| protected_only | No | Whether to show only protected branches | |
| page | No | Page number | |
| perPage | No | Items per page |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-issue-commentsD
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number | |
| repo | Yes | Repository name | |
| owner | Yes | Repository owner (user or organization) | |
| per_page | No | Items per page | |
| issue_number | Yes | Issue number |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-issuesD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner (user or organization) | |
| repo | Yes | Repository name | |
| state | No | Issue state filter | open |
| sort | No | Sort criteria | created |
| direction | No | Sort direction | desc |
| page | No | Page number | |
| per_page | No | Items per page |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-pull-requestsD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner (user or organization) | |
| repo | Yes | Repository name | |
| state | No | PR state filter | open |
| sort | No | Sort criteria | created |
| direction | No | Sort direction | desc |
| page | No | Page number | |
| per_page | No | Items per page |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-repositoriesD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | User or organization name | |
| isOrg | No | Whether it's an organization (true: organization, false: user) | |
| type | No | Repository type filter | all |
| sort | No | Sort criteria | full_name |
| page | No | Page number | |
| perPage | No | Items per page |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-user-orgsD
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for pagination | |
| per_page | No | Number of results per page (max 100) | |
| username | Yes | Username of the user whose organizations to list |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-usersD
| Name | Required | Description | Default |
|---|---|---|---|
| page | No | Page number for pagination | |
| filter | No | Filter users by status | |
| search | No | Search query to filter users by username or email | |
| per_page | No | Number of results per page (max 100) |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-workflow-runsD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner | |
| repo | Yes | Repository name | |
| workflow_id | No | Workflow ID or file name | |
| branch | No | Filter by branch name | |
| status | No | Filter by run status | |
| page | No | Page number | |
| perPage | No | Items per page |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
list-workflowsD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner | |
| repo | Yes | Repository name | |
| page | No | Page number | |
| perPage | No | Items per page |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
merge-pull-requestD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner (user or organization) | |
| repo | Yes | Repository name | |
| pull_number | Yes | Pull request number | |
| commit_title | No | Title for the automatic commit message | |
| commit_message | No | Extra detail to append to automatic commit message | |
| merge_method | No | Merge method to use | merge |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
suspend-userD
| Name | Required | Description | Default |
|---|---|---|---|
| reason | No | Reason for the suspension | |
| username | Yes | Username of the user to suspend |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
trigger-workflowD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner | |
| repo | Yes | Repository name | |
| workflow_id | Yes | Workflow ID or file name | |
| ref | Yes | Git reference (branch, tag, SHA) | |
| inputs | No | Workflow inputs |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
unsuspend-userD
| Name | Required | Description | Default |
|---|---|---|---|
| username | Yes | Username of the user to unsuspend |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update-repositoryD
| Name | Required | Description | Default |
|---|---|---|---|
| owner | Yes | Repository owner | |
| repo | Yes | Repository name | |
| description | No | New description | |
| private | No | Change privacy setting | |
| default_branch | No | Change default branch | |
| has_issues | No | Enable/disable issues | |
| has_projects | No | Enable/disable projects | |
| has_wiki | No | Enable/disable wiki | |
| archived | No | Archive/unarchive repository |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
update-userD
| Name | Required | Description | Default |
|---|---|---|---|
| bio | No | Biography for the user | |
| blog | No | URL of the user's blog or website | |
| name | No | Full name for the user | |
| No | The email address for the user | ||
| company | No | Company for the user | |
| location | No | Location for the user | |
| username | Yes | Username of the user to update | |
| twitter_username | No | Twitter username for the user |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Tool has no description.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Tool has no description.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Tool has no description.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Tool has no description.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
Tool has no description.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Tool has no description.
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.
2 tool updates
v1.0.0- Changed
get-enterprise-stats1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
- Changed
get-license-info1 field changed- removed
Input schema / additionalPropertiesRemoved value: -false
28 tool updates
- First observed
create-issue - First observed
create-pull-request - First observed
create-repository - First observed
create-user - First observed
delete-repository - First observed
delete-user - First observed
get-content - First observed
get-enterprise-stats - First observed
get-issue - First observed
get-license-info - First observed
get-pull-request - First observed
get-repository - First observed
get-user - First observed
list-branches - First observed
list-issue-comments - First observed
list-issues - First observed
list-pull-requests - First observed
list-repositories - First observed
list-user-orgs - First observed
list-users - First observed
list-workflow-runs - First observed
list-workflows - First observed
merge-pull-request - First observed
suspend-user - First observed
trigger-workflow - First observed
unsuspend-user - First observed
update-repository - First observed
update-user
TDQS
Scored across 28 tools
Each tool targets a distinct resource-action combination, such as list-repositories vs get-repository vs create-repository. Even within the same resource, tools like get-issue, create-issue, and list-issues are clearly separated. No two tools appear to do the same thing.
All tool names follow a consistent kebab-case verb-noun pattern (e.g., list-issues, create-repository, suspend-user). The verbs are uniform and predictable, making the naming convention highly consistent across the entire set.
With 28 tools, the count is on the heavier side, but it covers a broad enterprise domain including repositories, issues, pull requests, workflows, users, and enterprise stats. Each tool seems justified for the scope, so the count is appropriate, though slightly above the typical well-scoped range.
The tool surface covers core CRUD for repositories and users, plus workflows and pull requests, but has notable gaps: no update-issue or delete-issue, no update/delete for pull requests, and no search capabilities. These missing operations will require agents to work around limitations in common workflows.
Maintenance
Related MCP Connectors
Create, deploy, and operate MCP servers directly from your GitHub repositories.
An MCP server that gives your AI access to the source code and docs of all public github repos
A MCP server built for developers enabling Git based project management with project and personal…
MCP server for OpenAI API (chat completions, image generation, embeddings) via AceDataCloud
Related MCP Servers
- -licenseNot gradedqualityAmaintenanceMCP Server for the GitHub API, enabling file operations, repository management, search functionality, and more.137,300 npm91,120MIT
- AlicenseNot gradedqualityDmaintenanceAn MCP server that wraps the GitHub CLI to provide comprehensive access to repository management, pull requests, issues, and workflows. It enables users to perform complex GitHub operations and interact with the GitHub API through a standardized interface.355 npm1ISC
- AlicenseBqualityDmaintenanceAn MCP server that enables managing GitHub repositories, pull requests, issues, and more through natural language in Cursor or Claude Desktop.393 npm4MIT
- AlicenseBqualityDmaintenanceMCP (Model Context Protocol) server for GitHub API integration. This server provides comprehensive tools for interacting with GitHub repositories, issues, pull requests, branches, and code search through a unified interface.158 npmMIT