Tunnel Manager
Tunnel Manager
CLI 또는 API | MCP | 에이전트
버전: 3.1.0
문서 — API, CLI, MCP 및 에이전트 인터페이스에서의 설치, 배포, 사용법에 대한 내용은 공식 문서에서 관리됩니다.
Related MCP server: mcp-ssh
개요
Tunnel Manager는 원격 호스트에 SSH 터널을 생성하고 에이전틱 AI 위한 MCP 서버로 호스팅하도록 설계된 프로덕션 등급의 에이전트 및 MCP(Model Context Protocol) 서버입니다.
핵심 기능
통합된 액션 라우팅 MCP 도구: 메서드를 최적화된 토글형 도구 모듈로 그룹화하여 LLM 컨텍스트에서 토큰 오버헤드를 최소화하고 도구 비대화를 제거합니다.
엔터프라이즈급 보안: Eunomia 정책, OIDC 토큰 위임, 세분화된 실행 컨텍스트 추적에 대한 포괄적인 지원을 제공합니다.
통합 그래프 에이전트: Agent Control Protocol(ACP) 및 표준 웹 인터페이스(AG-UI)를 지원하는 Pydantic AI 에이전트가 내장되어 있습니다.
네이티브 텔레메트리 및 추적: 별도 설정 없이 사용할 수 있는 OpenTelemetry 내보내기와 네이티브 Langfuse 추적을 제공합니다.
CLI 또는 API
이 에이전트는 원격 호스트에 SSH 터널을 생성하고 이를 에이전틱 AI용 MCP 서버로 호스팅하는 API를 래핑합니다. 프로그래밍 방식 또는 통합된 실행 진입점으로 상호 작용할 수 있습니다.
기본 API 래퍼 사용 방법, 확장 스키마 바인딩, 개발자 SDK 참조에 대한 자세한 지침은 docs/index.md에 있습니다.
MCP
이 MCP 서버는 동적 액션 라우팅 도구를 활용하여 토큰 오버헤드를 최적화하고 IDE 호환성을 극대화합니다.
사용 가능한 MCP 도구
실행 중인 MCP 서버에서 자동 생성되었습니다 — 직접 편집하지 마세요.
축약형 액션 라우팅 도구 (MCP_TOOL_MODE=condensed)
MCP 도구 | 토글 환경 변수 | 설명 |
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| 원격 호스트에서 고급 파일 작업을 수행합니다. |
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| 로컬 호스트 별칭 인벤토리를 관리합니다. |
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| YAML 호스트 그룹에 대한 인벤토리 대량 작업을 수행합니다. |
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| 작업 수명 주기 및 세션을 관리합니다. |
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| 공통 연결 파라미터를 사용하는 단일 호스트 SSH 작업을 수행합니다. |
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| 보안 검사 및 규정 준수를 수행합니다. |
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| SSH를 통한 원격 시스템 정보를 제공합니다. |
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| 관리되는 SSH 인벤토리를 나열하고 epistemic-graph로 푸시합니다. |
상세 1:1 API 매핑 도구 (MCP_TOOL_MODE=verbose 또는 both)
MCP 도구 | 도구 환경 변수 | 설명 |
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| 별칭으로 호스트 구성을 가져옵니다. 호출자에게 권한이 없는 별칭인 거부합니다. |
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| 호출자에게 권한이 있는 호스트 별칭을 나열하고 비밀 값은 마스킹합니다. |
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액션 라우팅 도구 8개 · 상세 1:1 도구 6개. 각 도구는 자신의 <DOMAIN>TOOL 토글이 false로 설정되지 않는 한 활성화되며, MCP_TOOL_MODE가 표면을 선택합니다 (**intent 기본값* — 동사형 도구 6개, 세분화된 도구 세트는 온디맨드로 · condensed 액션 라우팅 · verbose 1:1 · both). 자동 생성이므로 직접 편집하지 마세요.*
상세 도구 스키마, 파라미터 구조, 검증 제약 조건은 docs/usage.md에 있습니다.
동적 도구 선택 및 표시 여부 필터링
이 MCP 서버는 런타임 시 동적 도구 세트 선택과 표시 필터링를 지원합니다. 이를 통해 LLM의 컨텍스트 창이 부풀아 오르는 것을 방지하기 위해 노출되는 도구 세트를 제한할 수 있습니다.
여러 입력 채널을 통해 도구 필터링을 구성할 수 있습니다:
CLI 인자: 시작 시
--tools또는--toolsets(또는 그 반대인--disabled-tools및--disabled-toolsets)를 전달하세요.환경 변수: 표준 환경 변수를 정의하세요:
MCP_ENABLED_TOOLS/MCP_DISABLED_TOOLSMCP_ENABLED_TAGS/MCP_DISABLED_TAGS
HTTP SSE 요청 헤더: 전송 초기화 중 사용자 지정 헤더를 전달하세요:
x-mcp-enabled-tools/x-mcp-disabled-toolsx-mcp-enabled-tags/x-mcp-disabled-tags
HTTP SSE 요청 쿼리 파라미터: 전송 연결 URL에 쿼리 파라미터를 직접 추가하세요:
?tools=tool1,tool2?tags=tag1
쿼리 문자열 또는 파라미터가 제공되면 LLM이 필요 없는 지식 그래프 해석 레이어 (DynamicToolOrchestrator 사용)가 쿼리 의도를 알려진 알려진 도구 태그, 도구 이름 또는 설명과 비교하여 일치시키며, 안전한 폴백 및 24시간 백그라운드 자동 캐시 갱신을 제공합니다.
MCP 구성 예시
커넥터 중심의
[mcp]엑스트라를 설치하세요. 예제는agent-utilities[mcp]를 통해tunnel-manager[mcp]로 FastMCP/FastAPI를 추가하는 방식을 사용합니다. Agent Utilities 핵심 모듈은 사용할 때epistemic-graph[full]을 함께 포함하며,[agent-runtime]엑스트라는 모델 오케스트레이션을 추가로 활성화합니다.
stdio 전송 (로컬 IDE — Cursor, Claude Desktop, VS Code)
{
"mcpServers": {
"tunnel-manager-mcp": {
"command": "uvx",
"args": [
"--from",
"tunnel-manager[mcp]",
"tunnel-manager-mcp"
],
"env": {
"MCP_TOOL_MODE": "intent",
"FILETOOL": "True",
"HOSTTOOL": "True",
"INGESTTOOL": "True",
"INVENTORYTOOL": "True",
"OPERATIONSTOOL": "True",
"REMOTETOOL": "True",
"SECURITYTOOL": "True",
"SYSTEMTOOL": "True",
"TUNNEL_IDENTITY_FILE": "~/.ssh/id_ed25519",
"TUNNEL_INVENTORY_GROUP": "all",
"TUNNEL_KG_INGEST": "true",
"TUNNEL_KNOWN_HOSTS": "~/.ssh/known_hosts",
"TUNNEL_MANAGER_HEALTH_AGGREGATE_S": "3600",
"TUNNEL_MANAGER_HEALTH_INGEST": "true",
"TUNNEL_MANAGER_HOSTS": "r510,r710,r820,rw710",
"TUNNEL_MAX_THREADS": "6",
"TUNNEL_PARALLEL": "False",
"TUNNEL_REMOTE_PORT": "22"
}
}
}
}런타임 참조는 GraphOS와 같은 별칭 인식 런처를 필요로 합니다. 그 외 런처는 해당 항목을 생략하고 자신의 런타임 비밀 경계를 통해 해석된 값들을 주입해야 합니다.
Streamable-HTTP 전송 (네트워크/프로덕션 환경)
{
"mcpServers": {
"tunnel-manager-mcp": {
"command": "uvx",
"args": [
"--from",
"tunnel-manager[mcp]",
"tunnel-manager-mcp",
"--transport",
"streamable-http",
"--port",
"8000"
],
"env": {
"TRANSPORT": "streamable-http",
"HOST": "127.0.0.1",
"PORT": "8000",
"MCP_TOOL_MODE": "intent",
"FILETOOL": "True",
"HOSTTOOL": "True",
"INGESTTOOL": "True",
"INVENTORYTOOL": "True",
"OPERATIONSTOOL": "True",
"REMOTETOOL": "True",
"SECURITYTOOL": "True",
"SYSTEMTOOL": "True",
"TUNNEL_IDENTITY_FILE": "~/.ssh/id_ed25519",
"TUNNEL_INVENTORY_GROUP": "all",
"TUNNEL_KG_INGEST": "true",
"TUNNEL_KNOWN_HOSTS": "~/.ssh/known_hosts",
"TUNNEL_MANAGER_HEALTH_AGGREGATE_S": "3600",
"TUNNEL_MANAGER_HEALTH_INGEST": "true",
"TUNNEL_MANAGER_HOSTS": "r510,r710,r820,rw710",
"TUNNEL_MAX_THREADS": "6",
"TUNNEL_PARALLEL": "False",
"TUNNEL_REMOTE_PORT": "22"
}
}
}
}또는 url을 지정하여 이미 배포된 Streamable-HTTP 인스턴스에 연결합니다:
{
"mcpServers": {
"tunnel-manager-mcp": {
"url": "http://localhost:8000/tunnel-manager-mcp/mcp"
}
}
}리뷰가 완료된 컨테이너 이미지를 최소 권한으로 실행하는 stdio 자식 프로세스로 실행합니다(리스너나 공개 포트 없음):
docker run -i --rm \
--read-only \
--cap-drop=ALL \
--security-opt=no-new-privileges \
--pids-limit=256 \
--tmpfs /tmp:rw,noexec,nosuid,nodev,size=64m \
-e TRANSPORT=stdio \
-e MCP_TOOL_MODE=intent \
-e FILETOOL=True \
-e HOSTTOOL=True \
-e INGESTTOOL=True \
-e INVENTORYTOOL=True \
-e OPERATIONSTOOL=True \
-e REMOTETOOL=True \
-e SECURITYTOOL=True \
-e SYSTEMTOOL=True \
-e TUNNEL_IDENTITY_FILE=~/.ssh/id_ed25519 \
-e TUNNEL_INVENTORY_GROUP=all \
-e TUNNEL_KG_INGEST=true \
-e TUNNEL_KNOWN_HOSTS=~/.ssh/known_hosts \
-e TUNNEL_MANAGER_HEALTH_AGGREGATE_S=3600 \
-e TUNNEL_MANAGER_HEALTH_INGEST=true \
-e TUNNEL_MANAGER_HOSTS=r510,r710,r820,rw710 \
-e TUNNEL_MAX_THREADS=6 \
-e TUNNEL_PARALLEL=False \
-e TUNNEL_REMOTE_PORT=22 \
registry.example.invalid/tunnel-manager@sha256:<digest> tunnel-manager-mcp컨테이너화된 네트워크 HTTP의 경우, 운영자 소유의 배포 프로필을 통해 인증된 TLS 인그레스(또는 직접 서버 TLS), 정확한 MCP_ALLOWED_HOSTS, 그리고 정확한 신뢰 가능한 프록시 CIDR 정책을 제공하세요. 생성자는 인증되지 않은 비루프백 리스너를 생성하지 않습니다.
코드 내에서 읽혀진 환경 표면(MCP_TOOL_MODE + 패키지 변수)에서 자동 생성됩니다 — 직접 편집하지 마세요.
추가 배포 옵션
tunnel-manager는 로컬 stdio 프로세스나 컨테이너로 실행되거나 원격 네트워크 경계 뒤에서 실행할 수 있습니다. 배포 가이드에 자세한 전송 지침이 있습니다.
로컬 컨테이너 — 리뷰된 불변 이미지를 리스너나 공개 포트가 없는 최소 권한 stdio 하위 프로세스로 실행합니다.
원격 URL — 운영자가 제공한 인증된 HTTPS 인그레스를 통해 연결합니다. URL, 아웃바운드 이름 참조, 신뢰 프로필, 정확한
MCP_ALLOWED_HOSTS를AgentConfig에 유지합니다.
인벤토리
tunnel-manager는 짧은 호스트 별칭(예: edge-node)을 SSH 연결 세부 정보에 연결하는 하나의 단일 읽기 공용 YAML 인벤토리를 기반으로 실행됩니다. 모든 생태계 화면(HostManager API, tunnel-manager CLI, MCP 서버, container-manager-mcp의 cm_* 호스트 별칭, 그리고 ssh-bootstrap 스킬)은 동일한 파일을 읽으므로, 박스는 클러스터를 한 번만 정의하면 됩니다.
위치 —
~/.config/agent-utilities/inventory.yml(.yml선호)..yml이 없으면 같은 경로의 레거시inventory.yaml도 계속 읽어 기존 설치를 유지합니다.TUNNEL_INVENTORY로 변경할 수 있습니다.관리 —
inventory하위 명령으로 관리합니다:tunnel-manager inventory init # write a commented inventory.yml template (--force to overwrite) tunnel-manager inventory doctor # validate hosts/groups; --fix migrates legacy .yaml -> .yml tunnel-manager inventory show # print the resolved path + host/group summary
전체 스키마, 각 호스트 필드의 설정, 복사-붙여넣기 템플릿, 재정의 옵션에 대한 내용은 인벤토리 가이드에 있습니다.
환경 변수
패키지 환경 변수
변수 | 예시 | 설명 |
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| 옵션: stdio, streamable-http, sse |
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| secret-injected | |
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| 옵션: none, embedded, remote |
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| — | 기본 원격 호스트 (예: 198.51.100.10) |
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| 기본 SSH 포트 |
| — | 기본 SSH 사용자 이름 |
| — | env://, vault://, secret:// 또는 sqlite:// 참조 |
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| 독립적으로 검증된 서버 호스트 키 |
| — | SSH 인증서 파일 경로 |
| — | 점프 호스트/배스천 연결용 SSH ProxyCommand |
| — | 인벤토리 파일 경로 (기본값: XDG 설정 경로) |
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| 대상 인벤토리 호스트 그룹 |
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| 호스트 작업을 병렬로 실행 |
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| TUNNEL_PARALLEL=True일 때 최대 작업자 스레드 수 |
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| — | 인벤토리 해석을 위한 기본 설정 디렉터리 (기본값: ~/.config) |
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| register__tools 등록자별 그룹화된 축약 표면 토글 |
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| KG 수집 도구 (SSH 인벤토리를 epistemic-graph로 나열) |
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| 기본 활성화된 최선 노력 네트워크 신호 추세 수집 |
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| 샘플이 ONE :HealthTrend 노드/호스트/신호로 응축되는 시간 창(초) |
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| 프로브/파생할 쉼표로 구분된 인벤토리 별칭 (기본값: 전체 인벤토리) |
| — | 네트워크 이상 알림용 최선 노력 웹훅 |
상속된 agent-utilities 변수 (모든 커넥터에 적용)
변수 | 예시 | 설명 |
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| 도구 표면: |
| — | 쉼표로 구분된 도구 허용 목록 |
| — | 쉼표로 구분된 도구 거부 목록 |
| — | 쉼표로 구분된 태그 허용 목록 |
| — | 쉼표로 구분된 태그 거부 목록 |
| — | 아웃바운드 MCP 하위 인증: |
| — | OIDC 클라이언트 ID (서비스 계정 인증) |
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| OIDC 서비스 계정용 런타임 비밀 참조 |
| — | HTTP Basic 사용자 이름 ( |
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| HTTP Basic 인증용 런타임 비밀 참조 ( |
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| 에이전트가 연결하는 MCP 서버 URL |
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| 에이전트용 LLM 공급자 |
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| 에이전트용 모델 ID |
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| AG-UI 웹 인터페이스 제공 |
패키지 44개 + 상속 변수 14개. .env.example + 공유 agent-utilities 세트에서 자동 생성됨 — 편집하지 마세요.
서버가 읽는 모든 변수를 용도별로 그룹화했습니다. 복사하여 사용할 시작점은 .env.example을 참조하세요.
SSH 연결 및 자격 증명
변수 | 설명 | 기본값 |
| SSH 개인 키 경로 |
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| SSH 사용자 이름 | — |
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| 독립적으로 검증된 SSH 서버 키 신뢰 저장소 |
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| SSH 인증서 경로 | — |
| 기본 원격 호스트 | — |
| 기본 원격 SSH 포트 |
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| 점프 호스트용 SSH | — |
인벤토리 및 병렬 처리
변수 | 설명 | 기본값 |
| 공유 인벤토리 경로 ( |
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| 기본 인벤토리 호스트 그룹 | — |
| 일괄 작업을 병렬로 실행 | — |
| 최대 동시 SSH 작업자 스레드 수 | — |
| 인벤토리를 확인하는 데 사용되는 기본 구성 디렉터리 |
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MCP 서버 / 전송
변수 | 설명 | 기본값 |
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| 바인드 호스트 (HTTP 전송) |
|
| 바인드 포트 (HTTP 전송) |
|
| 도구 모드: |
|
| 쉼표로 구분된 도구 허용/거부 목록 | — |
| 쉼표로 구분된 태그 허용/거부 목록 | — |
| 상세 로깅 |
|
| 버퍼링되지 않은 표준 출력 (권장) |
|
도구 토글
각 라우팅된 도구는 해당 토글 환경 변수를 통해 개별적으로 비활성화할 수 있습니다 (false로 설정).
전체 목록은 위의 사용 가능한 MCP 도구 표에 있습니다
(HOSTTOOL, REMOTETOOL, INVENTORYTOOL, OPERATIONSTOOL,
SYSTEMTOOL, FILETOOL, SECURITYTOOL).
텔레메트리 및 거버넌스
변수 | 설명 | 기본값 |
| OpenTelemetry 내보내기 활성화 |
|
| OTLP 수집기 엔드포인트 | — |
| OTLP 인증 키 | — |
| OTLP 프로토콜 (예: | — |
| 권한 부여 모드: |
|
| 내장 정책 파일 |
|
| 원격 Eunomia 서버 URL | — |
에이전트 런타임 ([agent] 전용)
변수 | 설명 | 기본값 |
| 에이전트가 연결하는 MCP 서버 URL |
|
| LLM 공급자 (예: |
|
| 모델 ID (예: |
|
| AG-UI 웹 인터페이스 제공 |
|
에이전트
이 저장소는 완전히 통합된 Pydantic AI 그래프 에이전트를 제공합니다. 에이전트 제어 프로토콜(ACP) 및 에이전트 웹 UI(AG-UI) 및 터미널 인터페이스와 원활하게 상호 작용합니다.
에이전트 CLI 실행
대화형 명령줄 에이전트를 시작하려면:
# Set credentials
export TUNNEL_IDENTITY_FILE="your_value"
export DEBUG="your_value"
export PYTHONUNBUFFERED="your_value"
# Run the agent server
tunnel-manager-agent --provider openai --model-id gpt-4oDocker Compose 오케스트레이션
다음 docker/agent.compose.yml은 에이전트, 웹 UI 및 터미널 인터페이스를 함께 구성합니다:
version: '3.8'
services:
tunnel-manager-mcp:
image: example/tunnel-manager:mcp
container_name: tunnel-manager-mcp
hostname: tunnel-manager-mcp
restart: always
env_file:
- ../.env
environment:
- PYTHONUNBUFFERED=1
- HOST=0.0.0.0
- PORT=8000
- TRANSPORT=streamable-http
ports:
- "8000:8000"
healthcheck:
test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
tunnel-manager-agent:
image: example/tunnel-manager@sha256:<digest>
container_name: tunnel-manager-agent
hostname: tunnel-manager-agent
restart: always
depends_on:
- tunnel-manager-mcp
env_file:
- ../.env
command: [ "tunnel-manager-agent" ]
environment:
- PYTHONUNBUFFERED=1
- HOST=0.0.0.0
- PORT=9002
- MCP_URL=http://tunnel-manager-mcp:8000/mcp
- PROVIDER=${PROVIDER:-openai}
- MODEL_ID=${MODEL_ID:-gpt-4o}
- ENABLE_WEB_UI=True
- ENABLE_OTEL=True
ports:
- "9002:9002"
healthcheck:
test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9002/health')"]
interval: 30s
timeout: 10s
retries: 3
start_period: 10s
logging:
driver: json-file
options:
max-size: "10m"
max-file: "3"
자세한 그래프 노드 아키텍처 설명, 사용자 지정 스킬 구성 및 에이전트 추적 가이드는 docs/deployment.md에서 확인할 수 있습니다.
보안 및 거버넌스
엔터프라이즈급 agent-utilities 코어 위에 구축되어 표준 보안 매개변수를 완전히 지원합니다:
액세스 제어 및 정책 시행
Eunomia 정책: 세분화된 정책 기반 도구 권한 부여.
none, 로컬embedded(mcp_policies.json) 또는 중앙 집중식remote모드를 지원합니다.OIDC 토큰 위임: RFC 8693을 준수하는 토큰 교환으로 웹 UI / ACP → 에이전트 → MCP로 인증 사용자 자격 증명을 전달합니다.
범위 지정 자격 증명: 실행 컨텍스트는 특정 호출자 ID로 제한됩니다.
런타임 보안 그리드
기능 | 기능 설명 | 활성화 |
도구 가드 | 사람 개입 검증을 통한 민감도 검사 | 기본 활성화 |
프롬프트 주입 방어 | 입력 스캐닝, 반복 모니터링 및 재귀 루프 차단 | 기본 활성화 |
컨텍스트 안전 가드 | 교착 루프 감지 및 컨텍스트 오버플로 사전 경고 | 기본 활성화 |
설치
실행하려는 항목에 맞는 엑스트라를 선택하세요:
엑스트라 | 설치 내용 | 사용 시기 |
| 커넥터 중심 MCP 서버 ( | MCP 서버만 실행하는 경우 (가장 작은 설치/이미지) |
| 에이전트 런타임 ( | 통합 에이전트를 실행하는 경우 |
| 전체 ( | 개발 / 두 가지 모두 사용하는 경우 |
# Connector-focused MCP server (includes the shared graph engine)
uv pip install "tunnel-manager[mcp]"
# Agent runtime (adds model orchestration to the shared graph engine)
uv pip install "tunnel-manager[agent]"
# Everything (development)
uv pip install "tunnel-manager[all]" # or: python -m pip install "tunnel-manager[all]"컨테이너 이미지 (:mcp vs :agent)
하나의 다단계 docker/Dockerfile이 --target으로 선택되는 두 개의 적절한 크기의 이미지를 빌드합니다:
이미지 태그 | 빌드 대상 | 내용 | 엔트리포인트 |
|
|
|
|
|
|
|
|
docker build --target mcp -t example/tunnel-manager:mcp docker/ # connector-focused MCP server
docker build --target agent -t example/tunnel-manager:agent-local docker/ # agent runtimedocker/mcp.compose.yml은 커넥터 중심 :mcp 서버를 실행하고, docker/agent.compose.yml은
공동 배치된 :mcp 사이드카와 함께 에이전트(immutable agent digest)를 실행합니다.
지식 그래프 데이터베이스 (epistemic-graph)
[mcp]와 [agent] 모두 필수 Agent Utilities 코어 종속성(epistemic-graph[full])을 통해
epistemic-graph 엔진을 포함합니다. [mcp] 엑스트라는 서버를 커넥터 중심으로 유지하고,
[agent]는 모델 오케스트레이션을 추가로 활성화합니다. 로컬 배포는 번들 엔진을 사용할 수 있습니다.
프로덕션 또는 공유 상태의 경우 epistemic-graph를 전용 데이터베이스 서비스로 실행하고
런타임이 이를 사용하도록 구성하세요. 배포 레시피(단일 노드 + Raft HA), 연결 구성 및 아키텍처
다이어그램은 epistemic-graph 배포 가이드에
문서화되어 있습니다.
문서
전체 문서는 공식 문서 사이트로 게시되며 설치, 배포 및 일상적인 운영에 대한 권장 참조 자료입니다.
페이지 | 내용 |
pip, 소스, 엑스트라, 사전 빌드된 Docker 이미지 | |
공유 | |
MCP 및 에이전트 서버 실행, Compose, Caddy + Technitium, 환경 구성 | |
MCP 도구, | |
에코시스템 역할, 분산 SSH 스웜 확장, MCP 구성 | |
인증서, 프록시 및 크로스 OS 연결 모델 | |
개념 레지스트리 ( |
AGENTS.md는 표준 기여자/에이전트 지침입니다.
유지관리자
프로젝트 기여자 팀이 유지관리합니다. 패키지 메타데이터는 개인 식별 정보 대신 역할 주소를 의도적으로 사용합니다.
기여
기여를 환영합니다! 풀 리퀘스트를 제출하기 전에 로컬 검사를 실행하여 코드 품질을 확인해 주세요:
ruff format .를 사용하여 코드 서식 지정ruff check .를 사용하여 코드 린트mypy .를 사용하여 타입 안전성 검증pytest를 사용하여 테스트 스위트 실행
agent-utilities-deployment로 배포
이 패키지를 통합된 agent-utilities-deployment 워크플로로 프로비저닝하세요. 설치된 패키지, 편집 가능한 소스, 또는 불변 컨테이너 경로를 선택하고, AgentConfig에 런타임 비밀 및 TLS 프로필 참조만 기록하며, doctor, 등록, 정책, 관찰 가능성, 롤백 게이트를 실행합니다. 에이전트에게 **"agent-utilities-deployment로 tunnel-manager 배포"**를 요청하세요.
설치 모드 | 명령 |
설치된 패키지 |
|
편집 가능한 소스 |
|
불변 컨테이너 | 운영자가 선택한 오케스트레이터를 통해 |
저장소에는 배포 프로필, 자격 증명 값, 인증서 경로, 또는 환경별 엔드포인트가 포함되어 있지 않습니다. 런타임에 AgentConfig와 구성된 비밀 공급자를 통해 이를 제공하세요.
관리되는 기능 계약
이 패키지는 참조 워크플로로 유지되는 전문 절차와 함께 간결한 표준 스킬 표면을 제공합니다. 현재 MCP 도구, 스킬 메타데이터, connector_manifest.yml, 온톨로지, 매핑, 셰이프, 픽스처, 마이그레이션, 도구 스키마 지문, 인증 메타데이터는 하나의 버전 관리되는 기능 계약을 구성합니다. 이들을 함께 검증하고, 오래된 도구 이름이나 과거의 작업별 스킬 래퍼에 의존하지 마세요.
런타임 엔드포인트, 자격 증명, 인증서 신뢰, 테넌트 ID, 보존, 관찰 가능성 정책은 배포 입력이며 패키징된 값이 아닙니다. 네트워크 전송, 커넥터 수집, GraphOS 위임, 또는 트레이스 내보내기를 활성화하기 전에 구성, 신뢰 및 개인정보 보호를 참조하세요.
Available Tools
8 toolstm_filesAdvanced File OperationsCDestructive
Advanced file operations on remote hosts.
| Name | Required | Description | Default |
|---|---|---|---|
| mode | No | Permission mode (recursive_ops/chmod). | 755 |
| group | No | Group (recursive_ops/chown). | |
| host1 | No | First host (diff_compare). | |
| host2 | No | Second host (diff_compare). | |
| owner | No | Owner (recursive_ops/chown). | |
| action | Yes | Action: 'recursive_ops', 'content_search', 'watch', 'diff_compare', 'backup' | |
| source | No | Source path (recursive_ops). | |
| pattern | No | Search pattern (content_search). | |
| duration | No | Monitor duration secs (watch). | |
| password | No | SSH password. | |
| username | No | SSH username. | |
| file_path | No | File path to compare (diff_compare). | |
| operation | No | Operation type: copy, move, delete, list, chmod, chown (recursive_ops). | |
| recursive | No | Recursive search (content_search). | |
| backup_dest | No | Backup destination (backup). | |
| compression | No | Enable compression (backup). | |
| destination | No | Destination path (recursive_ops/copy/move). | |
| incremental | No | Incremental backup (backup). | |
| max_results | No | Max results (content_search). | |
| remote_host | No | Remote host. | |
| watch_paths | No | Paths to monitor (watch). | |
| backup_paths | No | Paths to backup (backup). | |
| search_paths | No | Directories to search (content_search). | |
| identity_file | No | SSH identity file path. | |
| case_sensitive | No | Case-sensitive (content_search). |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description does not add behavioral context beyond the annotations. Annotations already indicate destructiveHint=true, but the description fails to mention that operations may modify or delete files, require SSH credentials, or have side effects. With annotations present, the description should still provide safety or prerequisite details.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short (one sentence), but it fails to convey essential information. Conciseness should not come at the cost of usefulness. Every sentence should add value; this sentence is generic and does not help the agent select or invoke the tool effectively.
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?
Given the tool's complexity (25 parameters, 5 actions, output schema exists), the description is severely incomplete. It does not mention the supported actions, prerequisites (SSH credentials), or how to combine parameters. An output schema exists but is not referenced. The description leaves the agent with no guidance on how to operate the tool.
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?
Although schema coverage is 100% with parameter descriptions, the tool's description does not summarize which parameters correspond to which action. With 25 parameters and multiple actions, the description should group parameters or list actions, but it just repeats the title. Baseline for high coverage is 3, but the lack of structural guidance reduces clarity.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Advanced file operations on remote hosts', which indicates the tool's domain (files on remote hosts) and implies operations, but lacks a specific verb-resource pair. It distinguishes from sibling tools like tm_hosts or tm_inventory, so a clear domain is established.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not specify contexts like 'for file management, use this; for host management, use tm_hosts'. An agent must infer from the name and schema alone, which is insufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
tm_hostsHost ManagementCDestructive
Manage the local host alias inventory.
| Name | Required | Description | Default |
|---|---|---|---|
| port | No | SSH port. | |
| user | No | Username. | |
| alias | No | Host alias. | |
| action | Yes | Action: 'list', 'add', 'remove' | |
| hostname | No | Real hostname or IP. | |
| password | No | Password (if no key). | |
| identity_file | No | Path to private key. | |
| proxy_command | No | Proxy command. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The annotations already indicate destructiveHint=true, but the description does not elaborate on the destructive nature (e.g., removing hosts permanently) or other behavioral traits like authentication requirements or system changes. It adds no value beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single short sentence, which is concise but under-specified. It lacks critical information such as the available actions or the fact that it modifies local configuration. It is appropriately sized for a simple tool but incomplete for the complexity of 8 parameters.
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?
Given the tool has 8 parameters, a required 'action' parameter, and a destructive annotation, the description is too minimal. It does not mention the three actions (list, add, remove) or the potential impacts. Even with an output schema, the description fails to provide essential operational context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, so each parameter is already documented. The description ('Manage...') does not add any additional meaning or context about how parameters relate. The baseline is 3 since the schema does the heavy lifting.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states 'Manage the local host alias inventory,' which identifies the resource but uses the vague verb 'manage.' It does not specify the actions (list, add, remove) or how the tool operates. The title 'Host Management' provides context, but the description alone is insufficient to clearly distinguish the tool's specific function from siblings like tm_inventory.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives such as tm_remote or tunnel_ingest_hosts. There are no explicit when-to-use or when-not-to-use conditions, leaving the agent to infer usage from the action parameter and sibling names.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
tm_inventoryInventory OperationsCDestructive
Bulk inventory operations against YAML host groups.
| Name | Required | Description | Default |
|---|---|---|---|
| cfg | No | Local SSH config path (copy_ssh_config). | |
| cmd | No | Shell command (run_command). | |
| key | No | Shared key path (configure_key_auth). | /app/.ssh/id_ed25519 |
| group | No | Target group. | all |
| lpath | No | Local file path (send_file). | |
| rpath | No | Remote file path (send_file/receive_file). | |
| action | Yes | Action: 'configure_key_auth', 'mesh_bootstrap', 'run_command', 'copy_ssh_config', 'rotate_key', 'send_file', 'receive_file' | |
| key_pfx | No | Prefix for new keys (rotate_key). | /root/.ssh/id_ |
| rmt_cfg | No | Remote config path (copy_ssh_config). | /root/.ssh/config |
| timeout | No | Command timeout in seconds. | |
| key_type | No | Key type: rsa or ed25519. | ed25519 |
| parallel | No | Run parallel. | |
| inventory | No | YAML inventory path (default: $XDG_CONFIG_HOME/agent-utilities/inventory.yaml). | /root/.config/agent-utilities/inventory.yml |
| max_threads | No | Max threads. | |
| lpath_prefix | No | Local dir prefix (receive_file). |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations provide destructiveHint=true, but the description adds no behavioral context beyond that. It does not disclose what is destroyed, safety precautions, or any side effects. The description relies solely on the annotations for transparency.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is terse (one sentence) and front-loaded with key terms. However, given the tool's complexity (15 parameters, multiple actions), it is too brief and could benefit from a structured overview.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema and 15 parameters, the description fails to provide a high-level explanation of the tool's actions or typical use cases. It is insufficient for an agent to fully understand the tool's capabilities without inspecting the schema extensively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so each parameter has a description. The tool-level description adds no additional meaning beyond the schema. It is adequate but not enhanced.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Bulk inventory operations against YAML host groups' is somewhat vague, using the generic term 'operations' without specifying the types of actions. The title 'Inventory Operations' also lacks specificity. It indicates the resource (YAML host groups) and bulk nature, but does not clearly define the tool's purpose relative to siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
There is no guidance on when to use this tool versus alternatives like tm_hosts or tm_operations. The description does not mention context, prerequisites, or exclusions, leaving the agent to infer usage from the action parameter alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
tm_operationsOperation ManagementCDestructive
Operation lifecycle and session management.
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | Action: 'start', 'get_progress', 'cancel', 'get_metrics', 'list_sessions' | |
| details | No | Additional details (start). | |
| total_steps | No | Total steps (start). | |
| operation_id | No | Operation ID (get_progress/cancel/get_metrics). | |
| operation_type | No | Type of operation (start). |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, so the description does not need to repeat that. However, it adds no further behavioral context beyond 'lifecycle and session management,' which is adequately covered by the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is only 5 words, which is too terse. While concise, it sacrifices informativeness and does not earn its place given the tool's complexity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema and annotations, the description is too brief to cover the tool's multiple actions and use cases. It fails to explain how to use the action parameter or what each action entails.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so all parameters are documented in the schema. The description adds no additional parameter information, so it meets the baseline without adding value.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool manages operation lifecycle and sessions, which is a general purpose. It distinguishes from siblings like tm_files or tm_hosts, but lacks specificity about the exact actions (start, cancel, etc.) that are available.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not mention prerequisites, context for each action, or when to prefer sibling tools.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
tm_remoteRemote SSH OperationsCDestructive
Single-host SSH operations with shared connection params.
| Name | Required | Description | Default |
|---|---|---|---|
| cfg | No | SSH config path. | /root/.ssh/config |
| cmd | No | Shell command (run_command). | |
| key | No | Key path (test_key_auth/setup_passwordless). | |
| host | No | Remote host. | |
| lcfg | No | Local SSH config (copy_ssh_config). | |
| port | No | Port. | |
| rcfg | No | Remote SSH config (copy_ssh_config). | /root/.ssh/config |
| user | No | Username. | |
| lpath | No | Local file path (send_file/receive_file). | |
| proxy | No | Teleport proxy. | |
| rpath | No | Remote file path (send_file/receive_file). | |
| action | Yes | Action: 'run_command', 'send_file', 'receive_file', 'check_ssh', 'test_key_auth', 'setup_passwordless', 'copy_ssh_config', 'rotate_key', 'remove_host_key' | |
| id_file | No | Private key path. | /app/.ssh/id_ed25519 |
| new_key | No | New private key path (rotate_key). | |
| timeout | No | Command timeout in seconds. | |
| key_type | No | Key type: rsa or ed25519 (setup_passwordless/rotate_key). | ed25519 |
| password | No | Password. | |
| certificate | No | Teleport certificate. | |
| known_hosts | No | Known hosts path (remove_host_key). | /root/.ssh/known_hosts |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare destructiveHint=true, so the agent knows operations may be destructive. The description adds no further behavioral context (e.g., that actions like remove_host_key modify remote host keys, or that some operations require authentication). Minimal value beyond annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Single sentence is concise but overly minimal. It lacks front-loading of key information (e.g., list of actions or critical parameters). Every word earns its place, but additional context would improve usability without adding bloat.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
With 19 parameters and multiple actions, the description is too sparse. It does not explain the variety of actions, how to use shared parameters, or typical usage patterns. Even with an output schema, the description fails to provide sufficient context for effective tool selection and invocation.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% (all 19 parameters have brief descriptions). The tool description adds no extra meaning; it only says 'shared connection params.' Baseline is 3 as schema does the heavy lifting, but description does not enhance understanding of parameters.
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?
Description states 'Single-host SSH operations with shared connection params,' which clearly indicates the tool is for SSH actions on one remote host. It distinguishes from siblings like tm_files (local files) or tm_hosts (host management) by specifying SSH and single-host focus. However, it could list the specific actions (e.g., run_command, file transfer) for greater clarity.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no explicit guidance on when to use this tool versus alternatives. It only implies usage for SSH-related tasks on a single host. No exclusion criteria, prerequisites, or comparisons with sibling tools are provided.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
tm_securitySecurity AuditingCRead-onlyIdempotent
Security scanning and compliance.
| Name | Required | Description | Default |
|---|---|---|---|
| scope | No | Security areas to audit (security_audit). | |
| action | Yes | Action: 'security_audit', 'compliance_check', 'vulnerability_scan', 'access_control_audit' | |
| password | No | SSH password. | |
| standard | No | Compliance standard: cis_benchmark, pci_dss, hipaa (compliance_check). | cis_benchmark |
| username | No | SSH username. | |
| scan_type | No | Scan type: basic, package, config (vulnerability_scan). | basic |
| remote_host | Yes | Remote host to audit. | |
| identity_file | No | SSH identity file path. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and destructiveHint=false, so the description adds no behavioral context beyond confirming a read-only, idempotent operation. It fails to disclose that the tool requires SSH access (evident from schema but unmentioned) or to elaborate on side effects of scanning. The description does not add value beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely short (5 words), which is concise but risks under-specification. It front-loads no critical details like supported actions or security implications. While brevity is valued, the lack of structure (no bullet points, no separation of concerns) reduces clarity.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite having an output schema (not shown) and 8 parameters, the description covers almost nothing. It omits the tool's return values, SSH authentication requirements, and the specific actions it can perform. A complete description should at least hint at the action types (e.g., 'supports security_audit, compliance_check, etc.') to unify with the schema.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so the structured data already documents each parameter's meaning. The description 'Security scanning and compliance' adds no additional semantics for parameters. Baseline 3 applies since the description does not compensate or elaborate beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Security scanning and compliance' broadly matches the tool name and title, but it lacks a specific verb+resource combination. It vaguely groups scanning and compliance without defining distinct outcomes. Sibling tools (e.g., tm_files, tm_remote) imply a security focus, but the description does not differentiate this tool from potential security-related siblings.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives. The description does not mention when not to use it, prerequisites, or preferred contexts. For a tool requiring SSH credentials and offering multiple action types, this omission hampers correct selection.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
tm_systemSystem IntelligenceARead-onlyIdempotent
Remote system intelligence via SSH.
| Name | Required | Description | Default |
|---|---|---|---|
| action | Yes | Action: 'get_info', 'discover_services', 'analyze_logs', 'network_topology' | |
| password | No | SSH password. | |
| patterns | No | Search patterns (analyze_logs). | |
| username | No | SSH username. | |
| log_paths | No | Log file paths (analyze_logs). | |
| remote_host | Yes | Remote host. | |
| identity_file | No | SSH identity file path. |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already indicate readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that it uses SSH for intelligence, which aligns but doesn't elaborate on behaviors like connection handling or authentication requirements. It doesn't contradict annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the core purpose. It is concise and avoids fluff, though slightly more context could improve it without harming conciseness.
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?
Given the presence of an output schema, annotations covering safety, and full schema coverage, the description is adequate but lacks details on SSH prerequisites, security considerations, or limitations. It could be more complete without being verbose.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% with all 7 parameters described. The description itself adds no additional parameter-level meaning beyond what's already in the schema. Baseline score of 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description 'Remote system intelligence via SSH' clearly states the tool's purpose: to gather intelligence from remote systems over SSH. This verb+resource pattern effectively distinguishes it from sibling tools like tm_files (file operations) or tm_hosts (host management).
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides minimal guidance on when to use this tool versus alternatives. It does not specify prerequisites, exclusions, or context. The name and description imply it's for system intelligence, but explicit usage guidance is lacking.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
tunnel_ingest_hostsIngest Hosts to Knowledge GraphCRead-onlyIdempotent
List the managed SSH inventory and push it into the epistemic-graph KG.
Maps each alias → a typed :Host node (+ :HostGroup / :SshKey and
their :inGroup / :usesKey links). Best-effort: no-ops cleanly when no
KG engine is reachable.
| Name | Required | Description | Default |
|---|---|---|---|
| group | No | HostGroup name to attach the ingested hosts to. | all |
Output Schema
| Name | Required | Description |
|---|---|---|
No output parameters | ||
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description's claim to 'push it into the epistemic-graph KG' suggests a write operation, contradicting the annotation readOnlyHint=true. Annotations indicate no modifications, while the description implies data ingestion. This is a clear annotation contradiction, lowering the score to 1.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is two sentences long, with the first sentence stating the core purpose and the second providing behavioral detail. Every word is necessary, and critical information is front-loaded.
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?
Given the output schema exists and schema coverage is high, the description covers the main action and best-effort behavior. However, it fails to explain the group parameter's role and does not differentiate from sibling tools, leaving gaps for an agent choosing among related tools.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100% for the single parameter, so baseline is 3. The description does not add any meaning beyond the schema's description of the 'group' parameter; it omits explaining its role in attaching hosts to a host group.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states a specific action: 'List the managed SSH inventory and push it into the epistemic-graph KG.' This clearly identifies the verb and resource. However, it does not explicitly differentiate itself from sibling tools like tm_inventory or tm_hosts, which may have overlapping functionality.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description mentions 'Best-effort: no-ops cleanly when no KG engine is reachable,' which implies safe usage but does not specify when to use this tool versus alternatives like tm_inventory for direct inventory listing or tm_hosts for host management. No explicit when-not or alternative guidance is given.
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.
8 tool updates
v2.0.1- First observed
tm_files - First observed
tm_hosts - First observed
tm_inventory - First observed
tm_operations - First observed
tm_remote - First observed
tm_security - First observed
tm_system - First observed
tunnel_ingest_hosts
TDQS
Scored across 8 tools
Most tools have distinct purposes (e.g., files, security, system intelligence), but tm_hosts and tm_inventory overlap in managing host inventory, and tm_remote may conflict with tm_files and tm_system. The outlier tunnel_ingest_hosts is distinct but not clearly related.
Seven tools use the 'tm_' prefix, but one uses 'tunnel_', breaking consistency. The naming pattern is noun-based without clear verb-noun structure, which is acceptable but not ideal.
Eight tools is a well-scoped set for remote host management, covering operations, inventory, security, and system intelligence without being overwhelming.
Covers file operations, SSH sessions, inventory, security, and system intelligence. Minor gaps like individual host CRUD (e.g., create/delete alias) might exist, but bulk operations and KG ingestion fill some needs.
Maintenance
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