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ellmos-servercommander-mcp

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ellmos-servercommander-mcp

サーバー操作用のアルファ版MCPサーバー:デプロイメントのドライラン、メールステータス、アクセスログ分析、HTTPヘルスチェック。

ドイツ語版README: README_de.md

ellmos-ai ファミリーの一部。

License: MIT npm version Python Node.js MCP Status: alpha Pytest: 37 passed Ecosystem: ellmos--ai open-bricks LLM--Ready: llms.txt

[!NOTE] 発見可能性 & AI検索: npm に ellmos-servercommander-mcp として公開され、server.json、glama.json、smithery.yaml でMCPエコシステム向けにカタログ化され、llms.txt でAI/LLM検索向けにインデックス化されています。

アーキテクチャの可視化

graph TD
    Client[MCP Host: Claude / Cursor] <-->|stdio / JSON-RPC| NodeWrapper[Node.js Entrypoint]
    NodeWrapper <-->|Spawn subprocess| PyServer[Python MCP Server]
    
    subgraph Tools [ServerCommander Tools]
        PyServer -->|sc_health_check| HTTP[HTTP/HTTPS Endpoint Check]
        PyServer -->|sc_logs_analyze| Logs[Apache/Nginx Access Logs]
        PyServer -->|sc_deploy / sc_deploy_status| Deploy[Dry-Run Manifest & SQLite History]
        PyServer -->|sc_mail_*| Mail[IMAP/SMTP Safe Readiness Diagnostics]
    end
    
    subgraph Storage [Local Storage]
        Deploy -->|Optional persist| SQLite[(SQLite Deploy History)]
        Logs -->|Optional persist| JSONReports[(JSON Log Reports)]
    end

Related MCP server: automation-health-mcp

はじめに

目標

こちらから始める

ServerCommander を Claude Desktop、Claude Code、Cursor、または他のMCPホストに追加する

MCPクライアント設定

デプロイ前にパブリックまたは内部のHTTPエンドポイントを確認する

sc_health_check

Apache/Nginxのアクセスログからエラー、ボット、リファラー、不審なパスを検査する

sc_logs_analyze

SFTP/SSH実行前にドライランのデプロイマニフェストを構築する

sc_deploy および sc_deploy_status

今日誤送信することなく、後でメール操作を準備する

sc_mail_list、sc_mail_read、sc_mail_send、sc_mail_search

ステータス

  • トランスポート: Python MCP SDK 経由の stdio

  • パッケージステータス: ellmos-ai 配下のパブリックアルファパッケージ

  • 現在のコア: MCPツール一覧、MCPツールディスパッチ、設定読み込み、HTTPヘルスチェック、オプションで永続化されたJSONレポート付きの強化されたアクセスログ分析、オプションのローカルドライランデプロイ履歴

  • 安全なアルファハンドラ: sc_deploy はローカルのSHA256マニフェスト、設定診断、ドライランモードでのオプトインSQLite履歴レコードを構築します。sc_mail_* はメール接続を開かずにプロトコル固有のIMAP/SMTP準備状態を報告します。

  • i18n: en、de、es、zh、ja、ru 向けのローカライズされたMCPツール説明、入力スキーマフィールド説明、不明なツールエラー(英語フォールバック付き)

インストール

npmパッケージにはPythonサーバーを起動するNodeラッパーが含まれています。Python 3.10+ と Python パッケージ mcp>=1.0.0 が依然として必要です。

オプション1: npmからインストール

npm install -g ellmos-servercommander-mcp@alpha
ellmos-servercommander

オプション2: ソースからインストール

git clone https://github.com/ellmos-ai/ellmos-servercommander-mcp.git
cd ellmos-servercommander-mcp
$env:PYTHONIOENCODING = "utf-8"
python -m pip install -e ".[dev]"
python -m pytest -q

同期クライアントがファイルをロックする場合は、クラウド同期フォルダ内に .venv を作成しないでください。分離された環境が必要な場合は、そのフォルダの外に作成してください。

ソースから起動

$env:PYTHONPATH = "src"
python -m servercommander.server

MCPクライアント設定

グローバルnpmインストール

{
  "mcpServers": {
    "servercommander": {
      "command": "ellmos-servercommander"
    }
  }
}

グローバルインストールなしのnpx

{
  "mcpServers": {
    "servercommander": {
      "command": "npx",
      "args": ["-y", "ellmos-servercommander-mcp@alpha"]
    }
  }
}

Pythonの直接実行

{
  "mcpServers": {
    "servercommander": {
      "command": "python",
      "args": ["-m", "servercommander.server"],
      "env": {
        "PYTHONPATH": "C:/path/to/ellmos-servercommander-mcp/src",
        "SERVERCOMMANDER_CONFIG_PATH": "C:/path/to/config/servercommander.toml"
      }
    }
  }
}

設定

ServerCommander は以下の順序で設定を探します:

  1. 環境変数 SERVERCOMMANDER_CONFIG_PATH

  2. ./servercommander.toml

  3. ./config/servercommander.toml

  4. ~/.config/servercommander/servercommander.toml

注釈付きテンプレートが config/servercommander.example.toml に含まれています。

[server]
name = "servercommander"
log_level = "INFO"
language = "en"

[deploy.profiles.staging]
target = "sftp://staging.example.com/var/www/app"
local_path = "./dist"
protocol = "sftp"
dry_run = true
record_history = true

[mail]
execution_enabled = false
smtp_host = "smtp.example.com"
smtp_port = 587
imap_host = "imap.example.com"
imap_port = 993

シークレットは環境変数(例:$MAIL_PASSWORD や $SFTP_PASSWORD)を介して参照する必要があります。

ツール

  • sc_health_check: HTTPエンドポイントをチェックし、ステータスコードとレイテンシを返します。不正な形式のエンドポイントURLは失敗したチェックとして返されるため、1つの不正な入力でバッチ全体が中断されることはありません。

  • sc_logs_analyze: インラインテキストまたはローカルファイルからApache/Nginxアクセスログを分析します。ステータスクラス、バイト数、リファラー、エラーパス、不審なリクエストマーカー、および persist_report によるオプションのJSONレポート永続化を含みます。

  • sc_deploy: ローカルのSHA256マニフェストとプロファイル診断を含むデプロイ計画を作成しますが、まだアップロードは行いません。準備状態チェックでは、オプションの record_history=true の前に、必須フィールド、マニフェスト可能なローカルパス、サポートされているプロトコルを確認します。ネストされたシンボリックリンクは報告されますが除外されるため、マニフェストが選択されたリリースディレクトリを超えて静かにトラバースすることはできません。

  • sc_deploy_status: 設定されたデプロイプロファイル、選択されたプロファイルの診断、およびローカルのSQLite履歴データベースからの最近のドライラン履歴を表示します。

  • sc_mail_list、sc_mail_read、sc_mail_send、sc_mail_search: アクション固有のIMAP/SMTP準備状態診断を含み、デフォルトではメール接続を行わない安全なアルファステータス応答。[mail].execution_enabled = true の場合、sc_mail_list は正規の mail-connector モジュールを再利用して、ライブの読み取り専用IMAP到達可能性プローブ(接続 + フォルダ一覧)を実行します。IMAPクライアントを再実装するわけではありません。メッセージレベルの読み取り/検索は mail-connector の領域であり、SMTP送信は実行されないままです。

検索と曖昧性解消

ServerCommander は、ローカルファーストのサーバー管理ワークフローのための ellmos オペレーションズMCPサーバーです。以下のものを検索する際にこのリポジトリを使用してください:

  • MCPサーバー運用ツール

  • MCPデプロイドライランサーバー

  • MCPアクセスログアナライザー

  • MCP HTTPヘルスチェックツール

  • ローカルファーストサーバー管理MCP

  • Claude Codeサーバー運用MCP

  • 安全なSFTPデプロイ計画MCP

これはGitHub MCPサーバーではなく、汎用シェルコマンドMCPサーバーでも、ホスティングプロバイダーコントロールパネルでも、本番SFTP/IMAP実行ツールでもありません。現在のアルファ版の表面は、意図的に診断とドライランを優先しています。

ellmos-ai エコシステム

このMCPサーバーは ellmos-ai エコシステムの一部です — AIインフラストラクチャ、MCPサーバー、インテリジェントツール。

MCPサーバーファミリー

サーバー

ツール数

焦点

npm

FileCommander

46

ファイルシステム、プロセス管理、インタラクティブセッション、クラウドロックセーフ操作

ellmos-filecommander-mcp

CodeCommander

22

コード分析、JSON修復、インポート、差分、正規表現

ellmos-codecommander-mcp

Clatcher

12

ファイル修復、フォーマット変換、バッチ操作

ellmos-clatcher-mcp

n8n Manager

18

AIアシスタントによるn8nワークフロー管理

n8n-manager-mcp

ControlCenter

20

MCPスタック発見、プロファイル管理、コントロールプレーン

ellmos-controlcenter-mcp

Homebase

45

ローカルファーストLLMメモリ、知識、状態、ルーティング、スウォームオーケストレーション

ellmos-homebase-mcp (alpha)

ServerCommander

8

サーバー運用:ヘルスチェック、ログ分析、デプロイドライラン、メール診断

ellmos-servercommander-mcp (alpha)

Blender Use

3

ヘッドレスBlenderアセットQAおよびFBX再インポート検証

ellmos-blender-use-mcp (alpha)

Open Compute

10

モデル非依存のコンピュータ使用:キャプチャ、安全ゲート付きアクション、Windows UIA

open-compute-mcp (alpha)

AIインフラストラクチャ & 開発者ツール

プロジェクト

説明

BACH

LLMエージェント向けローカルファーストのテキストベースOS — 113以上のハンドラ、550以上のツール、SQLiteメモリ

open-compute

モデル非依存のコンピュータユースコア。Open Compute MCPを強化

clutch

プロバイダに依存しないLLMオーケストレーション。自動ルーティングと予算追跡機能付き

rinnsal

軽量エージェントメモリ、コネクタ、自動化インフラストラクチャ

ellmos-stack

セルフホスト型AI研究スタック(Ollama + n8n + Rinnsal + KnowledgeDigest)

MarbleRun

Claude Code向け自律エージェントチェーンフレームワーク

gardener

ミニマルなデータベース駆動LLM OSプロトタイプ(4関数、1テーブル)

ellmos-tests

LLMオペレーティングシステム向けテストフレームワーク(7次元)

sqlite-transit-sync

暗号化SQLiteトランジット同期&追加型読み取りレプリカエンジン

workflowhooker

Gitフック駆動のワークフロー自動化と実行安全性境界

system-explorer

ローカルファーストのシステム構成、モジュール内省、フリート検証

companion-for-agy

Antigravity開発者コンパニオン&テレメトリブリッジ

デスクトップソフトウェア

私たちのパートナー組織 open-bricks は、AIネイティブのデスクトップアプリケーションをバンドルしています。AI時代に合わせて構築されたモダンでオープンソースのソフトウェアスイートです。カテゴリには、ファイル管理(ProFiler)、ドキュメントツール(DokuZen、PDFtoPDFocr)、開発者ユーティリティ(DevCenter、CodeBox)などが含まれます。

開発

$env:PYTHONIOENCODING = "utf-8"
python -m pytest -q
npm run smoke
npm pack --dry-run

次の有用なステップ:ドライラン/ステータスのみのデフォルトを維持しながら、SFTPおよびIMAP/SMTP用の明示的に設定された実行アダプターを追加します。

Available Tools

8 tools
sc_deployB

Build a safe deployment plan. Alpha only: execution requires dry_run=true.

ParametersJSON Schema
NameRequiredDescriptionDefault
dry_runNoBuild the plan without executing deployment.
profileNoDeployment profile name.
local_pathNoLocal source path.
remote_pathNoRemote target path.
record_historyNoPersist this dry-run deployment plan in the local history database.

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden. It mentions alpha status and a dry_run constraint, but does not disclose side effects such as record_history writing to a local database, permissions, or return behavior. The phrase "execution requires dry_run=true" is also ambiguous because dry_run=true means no execution per the schema.

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

Conciseness5/5

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

The description is two compact sentences with no wasted words, and the core purpose is front-loaded before the alpha constraint.

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

Completeness3/5

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

The schema fully documents all five parameters, and the description adds the important alpha/dry_run limitation. However, with no annotations and no output schema, the description omits enough behavioral context (side effects, return values, alternatives) that the definition is only minimally complete.

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

Parameters3/5

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

Schema description coverage is 100%, so the parameter meanings are already documented in the input schema. The description only repeats the dry_run requirement and adds no syntax, format, or interaction details beyond what the schema provides.

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

Purpose4/5

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

The description states a specific verb and resource: "Build a safe deployment plan." It distinguishes the tool from an actual deployment execution, and the alpha-only note further narrows scope. However, it does not explicitly differentiate itself from the sibling sc_deploy_status tool.

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

Usage Guidelines2/5

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

The description gives a constraint ("Alpha only: execution requires dry_run=true") but no guidance on when to use this tool versus alternatives such as sc_deploy_status. There is no when-to-use or when-not-to-use context.

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

sc_deploy_statusC

Show configured deployment profiles and alpha deployment-history status.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results.
profileNoDeployment profile name.

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description carries the full disclosure burden. 'Show' implies read-only, but there is no mention of auth requirements, whether the profile filter is required or optional, what happens when no profile is given, or how the limit interacts with history versus profiles.

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

Conciseness4/5

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

A single front-loaded sentence with no waste. It is slightly compressed to the point of ambiguity ('alpha deployment-history status'), but it does not pad or bury the key information.

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

Completeness3/5

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

For a low-complexity read tool with two optional, fully documented params and no output schema, the description is minimally adequate. It still leaves the meaning of the returned deployment status and the 'alpha' qualifier unexplained, which an agent would need to interpret results.

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

Parameters3/5

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

Schema description coverage is 100%, so both parameters (limit, profile) are already documented. The description hints at their roles ('configured deployment profiles', 'deployment-history') but adds no syntax, defaults, or filtering semantics beyond what the schema states, so the baseline of 3 applies.

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

Purpose4/5

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

States a specific verb ('Show') and two concrete resources (configured deployment profiles, deployment-history status), so an agent understands it is a read/status query. It does not, however, differentiate itself from the sibling sc_deploy, and the qualifier 'alpha' is unexplained jargon that muddies what is actually being reported.

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

Usage Guidelines2/5

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

There is no statement of when to call this versus sc_deploy or the other siblings, and no prerequisites or exclusions. Usage is only inferable from the fact that it is a status-style read, which is weak guidance for an agent choosing among eight tools.

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

sc_health_checkB

Check HTTP endpoints and return status codes plus latency.

ParametersJSON Schema
NameRequiredDescriptionDefault
timeoutNoRequest timeout in seconds.
endpointsNoHTTP endpoint URLs to check.

TDQS

B3.4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the return shape (status codes plus latency) but says nothing about authentication, redirect handling, concurrency, or per-endpoint failure behavior. Adequate disclosure of outputs, silent on operating conditions.

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

Conciseness5/5

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

A single tight sentence with the action and the two return values front-loaded. No filler, nothing to trim.

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

Completeness4/5

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

For a simple two-parameter read tool with no output schema, stating that it returns status codes plus latency covers the main return-value gap. Deployment/auth context that would make it fully self-sufficient is absent, but nothing critical to invoking it correctly is missing.

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

Parameters3/5

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

Schema description coverage is 100% – both 'timeout' (seconds, default 5) and 'endpoints' (URL list) are already documented in the schema. The description restates the purpose but adds no format, batching, or default details beyond the schema, so baseline 3 applies.

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

Purpose4/5

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

States a specific verb (check), resource (HTTP endpoints), and outputs (status codes plus latency), so the agent immediately knows what the tool does. It doesn't distinguish itself from siblings, but the siblings (sc_deploy, sc_mail_*, sc_logs_analyze) occupy unrelated domains, so cross-confusion risk is low.

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

Usage Guidelines2/5

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

No when-to-use guidance, no prerequisites, and no alternatives named. The health-check intent is only implied by the tool name and the endpoint wording. Nothing tells the agent when this is preferable to reading logs via sc_logs_analyze.

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

sc_logs_analyzeB

Analyze Apache/Nginx access logs from inline text or a local file path.

ParametersJSON Schema
NameRequiredDescriptionDefault
formatNoLog format hint.
log_pathNoLocal access-log file path.
log_textNoInline access-log text.
top_pathsNoNumber of top paths to include.
report_nameNoOptional report filename stem.
persist_reportNoPersist the analysis summary as a JSON report.

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, yet it discloses only the input sources. It says nothing about whether the tool writes anything to disk (relevant given persist_report and report_name), what permissions or file access are required, or how results are returned.

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

Conciseness5/5

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

A single front-loaded sentence with zero waste; scope and input modes are stated immediately with no filler.

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

Completeness3/5

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

With six optional parameters, no output schema, and no annotations, the description is only partially complete. It omits what the analysis yields and the side effect of persisting a report, but the schema covers the individual parameters so the gap is moderate rather than critical.

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

Parameters3/5

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

Schema description coverage is 100%, so the schema already documents all six parameters including format, log_path, log_text, top_paths, report_name, and persist_report. The description only restates the two input modes and adds no new parameter semantics, so the baseline of 3 applies.

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

Purpose4/5

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

States a specific verb (Analyze) and resource (Apache/Nginx access logs), plus the two input modes (inline text or local file path). This clearly distinguishes it from unrelated siblings like sc_deploy and sc_mail_send, though it does not describe what the analysis produces.

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

Usage Guidelines3/5

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

Usage is implied by the tool name and the two accepted input sources, but there is no explicit when-to-use/when-not guidance or mention of preconditions. Adequate but leaves the agent to infer context.

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

sc_mail_listC

Alpha mail status endpoint for listing an IMAP folder.

ParametersJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of results.
folderNoMail folder name.INBOX

TDQS

C2.5/5.0
Behavior2/5

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

With no annotations, the description carries the full behavioral burden, and it says almost nothing: 'listing' weakly implies read-only, but there is no mention of pagination, return format, ordering, or folder-must-exist behavior. An agent gets minimal signal about what happens on invocation.

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

Conciseness3/5

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

A single short sentence is appropriately sized, but the front-loaded 'Alpha mail status endpoint' framing is noise that misdirects rather than informing. It is concise but not well-structured around the actual operation.

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

Completeness2/5

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

No annotations and no output schema mean the description must explain behavior and results, and it does neither. For a list tool with defaults (limit=10, INBOX), an agent lacks the context needed to call it confidently or interpret the response.

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

Parameters3/5

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

Schema description coverage is 100% and both parameters (limit, folder) are documented in the schema, so the baseline is 3. The description adds no extra meaning such as default pagination behavior or folder-name semantics beyond what the schema already states.

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

Purpose3/5

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

The verb 'listing' and resource 'IMAP folder' are present, so the core action is inferable. However, the lead phrase 'Alpha mail status endpoint' muddles the purpose (status vs. listing) and the description never distinguishes this from siblings like sc_mail_search or sc_mail_read.

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

Usage Guidelines2/5

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

No guidance on when to use this versus sc_mail_search (filtered retrieval) or sc_mail_read (single message). No prerequisites, no exclusions, nothing beyond an implied 'use this to list a folder'.

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

sc_mail_readC

Alpha mail status endpoint for reading a message.

ParametersJSON Schema
NameRequiredDescriptionDefault
message_idNoMessage identifier.

TDQS

C2.5/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: it does not say the operation is read-only, what happens if the message_id is unknown, whether the caller needs authorization, or what the response contains. 'Status endpoint' hints at a return shape but never explains it.

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

Conciseness3/5

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

It is a single short sentence with no filler, which is structurally clean. The problem is under-specification rather than verbosity, and the most useful information (what it returns) is absent.

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

Completeness2/5

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

For a read tool with no annotations and no output schema, the description should at least characterize the returned data, but it only offers the ambiguous label 'status endpoint'. With one parameter required and zero required params declared, an agent cannot determine preconditions or expected output from this definition.

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

Parameters3/5

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

Schema coverage is 100% for the single message_id parameter, so the schema already documents it. The description adds no format, source, or lookup guidance beyond that, making the baseline 3 the correct score.

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

Purpose3/5

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

The description names a verb ('reading') and resource ('a message'), which loosely separates it from siblings like sc_mail_list, sc_mail_send, and sc_mail_search. However, the phrase 'Alpha mail status endpoint' is unexplained jargon that muddies whether this reads message content or fetches a delivery/status record, so the purpose is only partially pinned down.

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

Usage Guidelines2/5

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

There is no statement of when to use this tool versus sc_mail_list or sc_mail_search, both of which plausibly retrieve messages. The agent is left to infer that a known message_id is a prerequisite for this tool, and no exclusions or alternatives are given.

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

sc_mail_sendC

Alpha mail status endpoint for sending mail; does not send yet.

ParametersJSON Schema
NameRequiredDescriptionDefault
toYesEmail recipient.
bodyYesEmail body text.
subjectYesEmail subject.

TDQS

C2.6/5.0
Behavior3/5

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

With no annotations, the description carries the full burden, and it does disclose one important trait: the endpoint does not actually send yet, which prevents a false assumption of a side effect. However, it omits auth requirements, what the call returns (no output schema), and whether it errors or silently no-ops, leaving key behavior undefined.

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

Conciseness4/5

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

It is a single short sentence with no padding, and the caveat is placed immediately after the purpose. The only cost is that the phrasing itself is ambiguous rather than the length.

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

Completeness2/5

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

For a three-required-parameter call with no annotations and no output schema, the description should clarify what the invocation returns or does. It only asserts the tool 'does not send yet,' leaving return behavior, error cases, and the resulting state entirely unspecified.

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

Parameters3/5

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

Schema coverage is 100% and all three required parameters (to, subject, body) carry their own descriptions, so the schema does the heavy lifting. The description adds nothing about parameter formats or constraints, so baseline 3 applies.

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

Purpose2/5

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

The description is internally muddled: it calls itself a 'status endpoint' for 'sending mail' while also saying it 'does not send yet.' An agent cannot confidently tell whether this sends, checks status, or is a no-op, and the sibling set (sc_mail_list/read/search) offers no disambiguation. The verb+resource pair is stated but immediately undercut.

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

Usage Guidelines2/5

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

There is no when-to-use, when-not-to-use, or alternative-tool guidance. The phrase 'does not send yet' hints the tool is a stub, but it never tells the agent when this tool should be preferred over other mail siblings or when to avoid it.

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

Tool Schema Changelog

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

  1. 8 tool updatesv0.1.0-alpha.21
    • First observedsc_deploy
    • First observedsc_deploy_status
    • First observedsc_health_check
    • First observedsc_logs_analyze
    • First observedsc_mail_list
    • First observedsc_mail_read
    • First observedsc_mail_search
    • First observedsc_mail_send

TDQS

B3/5.0

Scored across 8 tools

Disambiguation4/5

Each tool targets a fairly distinct area: deploy vs deploy_status differ by planning versus status inspection, and the four mail tools split cleanly along list/read/send/search. The main risk is sc_deploy vs sc_deploy_status, which could be confused at a glance, but descriptions clarify the boundary.

Naming Consistency4/5

All tools share an sc_ prefix and snake_case, with mostly predictable noun_verb ordering (sc_mail_list, sc_health_check, sc_logs_analyze). sc_deploy is a bare verb outlier and the mail_* group reads as noun_action rather than verb_noun, but the scheme is readable and consistent overall.

Tool Count4/5

Eight tools is well within a sensible range for a server-commander surface spanning deploy, mail, logs, and health. No obvious redundancy or padding, though half the set is devoted to mail operations that are still alpha stubs.

Completeness3/5

Mail coverage (list/read/send/search) and deploy (plan + status) are reasonably complete, but several operations are explicitly non-functional alpha status endpoints (send 'does not send yet') and there is no log tailing/filtering beyond one-shot analysis. The server-commander domain lacks service restart, config, or process-management operations, leaving notable gaps.

Maintenance

ActivityActive
ResponsivenessNo issues

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