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gimp-mcp

GIMP 3 を駆動してスクリプトによる画像編集を行う MCP サーバーです。切り抜き、リサイズ、アスペクト比合わせ、軽い色調補正、寸法仕様の検証、フォルダー単位の一括処理に対応しています。

Windows 上の GIMP 3.2.4 で構築・検証済みで、旧 2.x の Script-Fu インターフェースではなく、GIMP 3 の GObject Introspection Python API(gi.repository.Gimp)を使用しています。


何のためにあるか

同じ決定的な処理を繰り返し適用する必要があり、クリック操作ではなく記述で済ませたいワークフロー全般に使えます。

  • 写真をターゲットのアスペクト比に切り抜く、または最大の中央正方形に切り抜く

  • 画像フォルダーを、長辺が最大 2000px になるようにリサイズする

  • 公開前に画像がサイズ・向きの要件を満たしているか確認する

  • 1 回のパスで、撮影全体に同じ切り抜き・リサイズパイプラインを適用する

Related MCP server: gimp-mcp

注意すべき点: EXIF の向き

スマートフォンや多くのカメラの写真は、横向きで保存され、EXIF の向きタグによって表示時に回転されることがよくあります。誰もが 3000x4000 の縦向きとして見る写真が、4000x3000 で保存されている場合があります。

GIMP の非対話型ローダーはこのタグを適用しません。 素朴な「中央正方形に切り抜き」は、そのため間違った軸で切り抜かれ、横向きの画像を生成します。しかも、もっともらしい寸法を報告するため、出力を開くまで明らかに壊れているようには見えません。

このプロジェクトのすべての読み込みは load_image() を経由し、最初に Gimp.Image.policy_rotate() を呼び出すため、すべてのジオメトリ、およびこのサーバーが報告するすべての寸法は、表示された向き、つまり閲覧者が実際に見る向きになります。これはテストでカバーされています。


アーキテクチャ

2 つの実行バックエンド、1 つの共有操作ランタイム:

                    ┌───────────────────────────────┐
  MCP client ──────►│  gimp_mcp/server.py (stdio)   │
                    └───────────┬───────────────────┘
                                │
              ┌─────────────────┴──────────────────┐
              ▼                                    ▼
   HeadlessBackend                        BridgeBackend
   spawns gimp-console-3.exe              TCP 127.0.0.1:50472
   (no running GIMP needed)               (into a running GIMP)
              │                                    │
              ▼                                    ▼
      bootstrap.py                    plug-ins/gimp-mcp-bridge/
              │                                    │
              └──────────────┬─────────────────────┘
                             ▼
              gimp_mcp/gimp_runtime.py
              THE single source of truth for every
              image operation. Both paths share it,
              so batch and live cannot drift apart.

install_plugin.py は、gimp_runtime.py をコピーするのではなく、インストールされたプラグインの隣に runtime_path.txt ポインターを書き込みます。これにより、操作コードのコピーがディスク上に 1 つだけ存在します。

バックエンドの選択。 headless がデフォルトで、すべてのバッチ処理と決定的な作業に使用されます。開いている GIMP を必要とせず、信頼性の高いパスです。bridge は、すでに開いているドキュメントでのライブ作業用です。どちらもピクセル単位で同一の出力を生成することが検証されています。

なぜ TCP で D-Bus ではないのか

既存のライブ GIMP 制御プロジェクトは D-Bus を使用していますが、D-Bus は Windows には存在しません。ループバック TCP ソケットは同じことを実現し、クロスプラットフォームです。127.0.0.1 のみにバインドされ、ネットワークに公開されることはありません。


インストール

GIMP 3.x(3.2.4 で開発)と mcp Python パッケージが必要です。

mcp 依存関係に関する注意。 これは mcp 1.x SDK を対象としており、mcp>=1.0,<2 に固定されています。バージョン 2.0 では mcp.server.fastmcp が削除され、FastMCP が MCPServer に名前変更されました。それへの移植はまだ完了しておらず、固定されていないインストールでは 2.x が選択され、インポート時に失敗します。

pip install -r requirements.txt
python install_plugin.py          # install the bridge plug-in (optional)
python install_plugin.py --list   # show detected GIMP config dirs

ブリッジプラグインはライブ制御ツールにのみ必要です。バッチツールと単一画像ツールは、GIMP に何もインストールしなくても動作します。

プラグインの場所

install_plugin.py は、バージョンをハードコードするのではなく、実際に存在する GIMP 3.x 設定ディレクトリを検出します。Windows では次のとおりです。

%APPDATA%\GIMP\3.2\plug-ins\gimp-mcp-bridge\gimp-mcp-bridge.py

バージョン付きディレクトリ(GIMP 3.2 の場合は 3.2、3.0 ではない)であり、GIMP 3 では各プラグインが .py ファイルと一致する名前のフォルダーに配置されている必要があることに注意してください。Linux と macOS では、インストーラーはそれぞれ ~/.config/GIMP/3.x/ と ~/Library/Application Support/GIMP/3.x/ を探します。

MCP サーバーの登録

パッケージをインストールすると gimp-mcp コンソールスクリプトが提供されます。これは作業ディレクトリに依存しないため、登録するのに最もすっきりした方法です。

python -m venv .venv
.venv/Scripts/python -m pip install -e .     # .venv/bin/python on Unix
{
  "mcpServers": {
    "gimp": {
      "type": "stdio",
      "command": "/path/to/gimp-mcp/.venv/Scripts/gimp-mcp.exe",
      "args": []
    }
  }
}

Claude Code では、同等のワンライナーは次のとおりです。

claude mcp add gimp --scope user -- /path/to/gimp-mcp/.venv/Scripts/gimp-mcp.exe

モジュールを直接実行することもできます。そのインタープリターで mcp がインポート可能であればです。

{
  "mcpServers": {
    "gimp": {
      "command": "python",
      "args": ["-m", "gimp_mcp"],
      "cwd": "/path/to/gimp-mcp"
    }
  }
}

オプションの環境変数:

変数

目的

GIMP_CONSOLE

gimp-console-3.exe が自動検出されない場合のフルパス

GIMP_MCP_BACKEND

headless(デフォルト)または bridge

GIMP_MCP_BRIDGE_PORT

ブリッジポート、デフォルト 50472


ツール

検査

ツール

目的

gimp_status

GIMP に到達可能か確認します。両方のバックエンドを報告します。何か問題がある場合はここから始めてください。

inspect_image

寸法、レイヤー、向き。寸法は表示されたとおりです。

check_image_spec

寸法仕様に対して検証します。測定された寸法と平易な理由で合格/不合格を返します。

単一画像

ツール

目的

crop_image

正確なピクセル矩形。範囲外は黙ってクランプするのではなく拒否します。

crop_square

最大の正方形。anchor = center/top/bottom/left/right/corner。

crop_to_aspect

ターゲット比率(1.0 正方形、1.3333 は 4:3、1.7778 は 16:9)、最大面積。

resize_image

幅、高さ、または max_edge で指定。デフォルトでアスペクト比を保持します。

adjust_image

明るさ/コントラスト、-0.5..0.5 に制限。

fit_to_spec

一発で: 切り抜きで向きを修正し、最小値までアップスケールし、最大値を尊重してダウンスケールし、オプションでタッチアップ。

process_image

1 回のパスでカスタム操作パイプライン(JPEG 再エンコード 1 回)。

バッチ

ツール

目的

batch_process

フォルダーに対する任意のパイプライン。

batch_fit_to_spec

フォルダー全体を 1 つの寸法仕様に適合させます。

batch_check_image_spec

読み取り専用監査。編集前のトリアージ。

バッチ全体は 1 回の GIMP 呼び出し内で実行されます。GIMP のコンソールは起動に数秒かかるため、ファイルごとにプロセスを生成すると遅くなります。小さなフォルダーではファイルあたり約 2.4 倍安価であると測定され、フォルダーサイズが大きくなるにつれて節約は大きくなります。失敗したファイルは実行を中止せず、errors に入り、残りは続行します。

ライブ制御(ブリッジプラグインが必要)

ツール

目的

live_list_images

実行中の GIMP で開いているものを表示します。

live_screenshot

キャンバスの平坦化されたスナップショット。表示して反復できます。

live_run_python

ライブコンテキストでの任意の Python。result に代入します。

live_stop_bridge

ブリッジを停止し、GIMP は開いたままにします。

GIMP でブリッジを開始: フィルター > 開発 > MCP ブリッジを開始。


画像仕様

check_image_spec、fit_to_spec、およびそのバッチ相当は、1 つの仕様モデルを共有します。すべての制約はオプションです。0 は制限なしを意味し、向き any は向きの要件がないことを意味します。

フィールド

値

min_width, min_height

ピクセル、0 は最小なし

max_width, max_height

ピクセル、0 は最大なし

orientation

any、square、landscape、portrait、square_or_landscape、square_or_portrait

fit_to_spec は、3 つの順序付きステップで仕様を満たします: 向きを修正するための切り抜き、最小値に達するためのアップスケール、最大値を尊重するためのダウンスケール。すでに満たされている制約は、フレーミングを変更しません。

// A square image at least 1000x1000, capped at 2000x2000
{ "orientation": "square", "min_width": 1000, "min_height": 1000,
  "max_width": 2000, "max_height": 2000 }

色調整は意図的に制限されています

adjust_image は明るさ/コントラストを -0.5..0.5 に制限し、範囲外の値はクランプするのではなく拒否します。およそ ±0.15 を超える値は写真の特性を目に見えて変えます。これは、画像が実際の被写体を忠実に表現する必要がある場合に重要です。彩度ブーストや「自動強調」は意図的にありません。


検証

スイートを実行:

python -m pytest tests/ -v

実際の画像を必要とするテストは、それらを指定しない限りスキップされます:

export GIMP_MCP_TEST_IMAGE=/path/to/photo.jpg          # ideally EXIF-rotated
export GIMP_MCP_TEST_REFERENCE=/path/to/photo-square.jpg

GIMP_MCP_TEST_REFERENCE は、GIMP_MCP_TEST_IMAGE の独立して生成された中央正方形切り抜きである必要があります。たとえば、GIMP で手動で切り抜いたものです。主要なテストは、crop_square がエラーなしで実行されるだけでなく、その参照を再現することをアサートします。

開発中に使用された参照写真(EXIF 向き 6 の 4000x3000 JPEG、表示は 3000x4000):

crop_square vs hand-made reference : mean abs diff 0.236, max 18, outliers 0.0014%
same crop via the bridge backend   : mean abs diff 0.236, max 18, outliers 0.0014%

その残差は JPEG 再エンコードノイズです。再エンコードだけでも平均約 0.5 であり、ジオメトリの違いではなく、両方のバックエンドが正確に一致します。

スイートはまた、表示された向きの報告、向きと最小サイズの仕様、範囲外の切り抜きが拒否されること、範囲外の調整が拒否されること、明るさがピクセルを正しい方向に動かすこと、チェーンされたパイプライン、アスペクト比の切り抜き、フォルダー全体のバッチ、読み取り専用監査、存在しないファイルに対する明確なエラー、および実際の MCP stdio プロトコルでの完全なパスをカバーしています。


トラブルシューティング

gimp-console not found — GIMP_CONSOLE に gimp-console-3.exe のフルパスを設定します。

ブリッジツールが「Could not reach the GIMP bridge」で失敗する — GIMP が開いていないか、ブリッジが開始されていません。フィルター > 開発 > MCP ブリッジを開始を実行します。gimp_status は両方のバックエンドを同時に表示します。

インストール後にメニュー項目がない — GIMP を再起動します。プラグインは起動時にのみスキャンされます。レイアウトが plug-ins/gimp-mcp-bridge/gimp-mcp-bridge.py であることを確認します(フォルダー名はファイル名と一致する必要があります)。

プラグインの診断 — GIMP プラグインは別のプロセスであり、Windows で GIMP が GUI アプリとして実行されている場合、その stderr は表示されません。ブリッジは、インストールされたプラグインの隣の bridge.log に書き込みます。

カラープロファイルダイアログが GIMP の起動をブロックする — GUI モードで埋め込みプロファイルを含む画像を開くとき。ヘッドレスモードでは表示されません。これもバッチ作業がヘッドレスバックエンドを使用するもう 1 つの理由です。

バッチがタイムアウトした — デフォルトは実行全体で 600 秒です。非常に大きなフォルダーではより多くの時間が必要になる場合があります。


既知の制限

  • ライブ制御は軽くしか試されていない。 動作確認はされている(画像を開く、一覧表示、スクリーンショット、ライブ編集、ブリッジ経由でのクロップがヘッドレスと同一の出力で可能)が、ヘッドレス経路に比べ使用量ははるかに少ない。信頼できるのはヘッドレスと考えること。

  • ブリッジは設計上、任意のPythonを実行する。 ループバック専用で、自動起動ではなく手動起動だが、マシン上のlocalhostに到達できるものは、実行中はGIMPを操作できる。使用しないときは停止すること。

  • ブリッジの起動は自身のプラグインプロセスをブロックする — それがプロセスを生かし続ける仕組みである。GIMPのUIはフリーズしないが、GIMPはプラグインが実行中として表示する。

  • GUIメニュー項目自体は自動テストの対象外である。 それが呼び出す手順は検証されているが、クリック経路は検証されていない。

  • Windowsのみが検証されている。 コードパスはクロスプラットフォームで、インストーラはLinux/macOSの設定ディレクトリを処理するが、どちらもテストされていない。

  • mcp 2.x SDKはまだサポートされていない — Installの下の注記を参照。

  • AIによる背景除去やスタイル転送はない。 類似プロジェクトの中には、実装が機能していないのにこれらを宣伝するものもあるが、ここでは意図的に主張していない。

先行技術に関する注記

GIMP側のプラグインがブリッジを公開し、スタンドアロンのMCPサーバープロセスがクライアントとして接続するという分割は、この問題に対する自然な形であり、他のGIMP MCPプロジェクトでも使用されている。バッチ処理とプリセット形式のパイプラインは、複数のプロジェクトに共通している。ライブキャンバス制御は他ではD-Bus経由で存在するが、ここではWindowsサポートのためにループバックTCPに置き換えられている。いずれからもコードはコピーされていない。Windows固有の詳細 — 実際のプラグインパス、プラグインプロセスのライフタイム、実行コールバックのシグネチャ、EXIFの動作 — は、GIMP 3.2.4に対して直接確認されたものである。

ライセンス

MIT — LICENSEを参照。

Available Tools

18 tools
adjust_imageA

Brightness/contrast touch-up.

Both values run -1.0..1.0 -- GIMP 3's real range for this operation -- and are rejected outside it rather than clamped. enhance_image uses the same range for contrast; they wrap the same GIMP call.

Useful values are far smaller than the limits. GIMP 3 applies this in linear light, so it bites harder than the same number did in GIMP 2.x, and anything much past +/-0.1 visibly changes the character of a photo. Keep adjustments small when the image needs to represent a real subject faithfully.

ParametersJSON Schema
NameRequiredDescriptionDefault
backendNo
qualityNo
contrastNo
brightnessNo
input_pathYes
output_pathYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.2/5.0
Behavior5/5

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

With no annotations, the description carries the full behavioral burden and does so well. It discloses that out-of-range values are rejected rather than clamped, that the operation runs in linear light and therefore has a stronger effect than in GIMP 2.x, and that values past +/-0.1 visibly change the image. This goes well beyond a generic 'adjusts brightness and contrast.'

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 front-loaded with the core purpose and then adds only high-value behavioral and practical details. Every sentence earns its place: the range/rejection rule, the relationship to enhance_image, the linear-light warning, and the guidance to keep adjustments small.

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 six-parameter tool with no annotations and 0% schema coverage, the description is nearly complete: it explains the main operation, the key parameters, edge-case behavior, and how values behave differently in GIMP 3. It misses only the optional backend and quality semantics, which keeps it from a perfect score.

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 0%, so the description must compensate. It provides rich semantics for brightness and contrast (range, rejection behavior, practical limits), but says nothing about backend or quality, leaving the quality default of 0.92 unexplained. The required input_path and output_path are self-evident from their names, so the gap is mainly in the optional parameters.

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

Purpose5/5

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

The description opens with 'Brightness/contrast touch-up,' a specific verb and resource that immediately identifies the tool's function. It also references enhance_image, providing a sibling distinction even though the exact selection criteria are not spelled out.

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

Usage Guidelines3/5

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

The description gives useful operational guidance about value ranges and suggests keeping adjustments small, but it does not explicitly state when to choose adjust_image over enhance_image or other siblings. The mention that both wrap the same GIMP call is informative but stops short of routeing the agent to the right tool in a specific scenario.

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

batch_check_image_specA

Audit a folder: which images already satisfy a specification.

Read-only; writes nothing. Use it to triage a folder before editing.

ParametersJSON Schema
NameRequiredDescriptionDefault
backendNo
patternNo
input_dirYes
max_widthNo
min_widthNo
recursiveNo
max_heightNo
min_heightNo
orientationNoany

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and explicitly states 'Read-only; writes nothing.' This is a valuable, non-obvious disclosure about side effects. It does not go further into permissions or edge cases, but it covers the primary behavioral concern.

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?

Two sentences, front-loaded with the core purpose and followed by a concise safety/usage note. Every word earns its place; 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?

The description covers purpose, safety, and a clear use case, and an output schema exists so return values need not be described. However, with 9 parameters and zero schema descriptions, the description leaves parameter semantics and default behavior underspecified. It is adequate for a first correct invocation but not fully complete.

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

Parameters2/5

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

Schema description coverage is 0% and the tool has 9 parameters. The description only mentions 'specification' in general terms and does not explain how parameters like pattern, recursive, orientation, or min/max dimensions map to that specification. Parameter names are suggestive, but the description itself provides almost no semantic value beyond the schema titles.

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

Purpose5/5

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

The description states a specific verb ('Audit') and resource ('a folder') plus the precise condition ('which images already satisfy a specification'). The batch/folder framing clearly distinguishes it from singular tools like check_image_spec.

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

Usage Guidelines4/5

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

It gives explicit use context: 'Use it to triage a folder before editing.' This tells an agent when it is appropriate, though it does not explicitly name alternatives or state when not to use it.

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

batch_fit_to_specC

Make every image in a folder satisfy one dimension specification.

The common bulk case: point it at a folder of photos and get conforming copies, with each file's final dimensions and pass/fail reported.

ParametersJSON Schema
NameRequiredDescriptionDefault
anchorNocenter
suffixNo_out
backendNo
patternNo
qualityNo
input_dirYes
max_widthNo
min_widthNo
recursiveNo
max_heightNo
min_heightNo
output_dirYes
orientationNoany

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

C2.9/5.0
Behavior3/5

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

With no annotations, the description carries the burden and does disclose key behavior: it produces conforming copies, operates on every image in a folder, and reports final dimensions and pass/fail. However, it does not clarify how the dimension constraints interact, whether originals are left untouched, naming/overwrite behavior, or recursive handling.

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

Conciseness4/5

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

The description is compact and front-loaded: the first sentence states the core function and the second gives the primary use case and expected reporting. It is not padded, though it sacrifices useful detail to achieve that brevity.

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

Completeness2/5

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

For a 13-parameter batch tool with 0% schema coverage and no annotations, the description is too thin. It gives a scenario and outcome but leaves the agent without enough information about parameter semantics, alternatives, and behavior constraints; the presence of an output schema only partially offsets the missing return-value detail.

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

Parameters1/5

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

Schema description coverage is 0% across 13 parameters, and the description adds no parameter-level meaning. 'One dimension specification' hints at constraints but does not explain input_dir, output_dir, min/max width/height, orientation, pattern, quality, backend, suffix, recursive, or anchor.

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 concrete operation: make every image in a folder satisfy a dimension specification, and adds bulk/copy/reporting context. It does not explicitly name a sibling such as fit_to_spec or batch_check_image_spec, so it stops short of full sibling differentiation.

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

Usage Guidelines3/5

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

The phrase 'common bulk case' implies this is for folder-wide operations and contrasts with single-image tools, but no explicit when-to-use/when-not-to-use guidance or alternative tool names are given.

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

batch_processA

Apply the same operations to every image in a folder.

All files are handled inside a single GIMP session, so a large folder costs one GIMP startup rather than one per file. A file that fails does not abort the run: it is reported in errors and the rest continue.

operations is a JSON list, same format as process_image. Set suffix to e.g. "_out" to avoid overwriting, and output_format to "jpg"/"png" to convert.

ParametersJSON Schema
NameRequiredDescriptionDefault
suffixNo
backendNo
patternNo
qualityNo
input_dirYes
recursiveNo
operationsYes
output_dirYes
output_formatNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full behavioral burden. It discloses single-session processing, failure isolation with reported errors, and overwrite avoidance through suffix, all of which are valuable beyond the schema. It does not cover every behavioral nuance, but the core runtime traits are well described.

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 compact and well-structured: one sentence for purpose, one short paragraph for runtime behavior, and one for parameter guidance. Every sentence contributes useful information without repetition or fluff.

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?

Core behavior, error reporting, and key parameter usage are covered, and an output schema is indicated to exist. However, with 9 parameters and zero schema descriptions, several parameters such as backend, pattern, recursive, and quality remain under-specified for an agent to invoke the tool confidently.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It does explain operations as a JSON list in process_image format, suffix for avoiding overwrites, and output_format for conversion, but it leaves backend, pattern, recursive, quality, input_dir, and output_dir semantically unexplained despite having 9 parameters.

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

Purpose5/5

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

The opening sentence states a specific verb and resource: apply the same operations to every image in a folder. This clearly distinguishes the tool from single-image tools like process_image and from specialized batch tools like batch_fit_to_spec or batch_check_image_spec.

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

Usage Guidelines4/5

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

The description makes the batch usage context clear by explaining that a large folder costs one GIMP startup rather than one per file, which strongly implies the batch counterpart to process_image. It does not explicitly name alternatives or say when not to use this tool, but the context is not misleading.

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

check_image_specA

Check an image against a dimension specification.

Every constraint is optional: 0 means "no limit", and orientation "any" means no orientation requirement. Valid orientation values are: any, square, landscape, portrait, square_or_landscape, square_or_portrait.

Returns pass/fail with the actual measured dimensions and a plain-language reason for each failure. Useful for validating images against a publishing platform's requirements, a print size, or an asset pipeline's conventions before spending time editing.

ParametersJSON Schema
NameRequiredDescriptionDefault
pathYes
backendNo
max_widthNo
min_widthNo
max_heightNo
min_heightNo
orientationNoany

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It explains that every constraint is optional, that 0 means no limit, that 'any' means no orientation requirement, and that the tool returns pass/fail with measured dimensions and failure reasons. This is useful behavioral detail, though it does not cover error cases or side effects.

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

Conciseness5/5

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

The description is concise and well-structured: a clear one-line purpose, then a compact explanation of constraint semantics and orientation values, then return behavior and use cases. Every sentence earns its place and the most important information is front-loaded.

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?

Given the 7 parameters, no annotations, and 0% schema coverage, the description covers the key semantics well: optional constraints, 0 meaning, orientation values, and return payload. It does not explain the backend parameter or explicitly compare itself with sibling validation tools, but an output schema exists to cover return details.

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

Parameters4/5

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

Schema description coverage is 0%, so the description must compensate. It does add real meaning by explaining the 0-as-no-limit convention for numeric constraints and enumerating valid orientation values. However, the optional 'backend' parameter is never explained, which is a notable gap.

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

Purpose5/5

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

The description opens with a specific verb and resource: 'Check an image against a dimension specification.' It also states the return contract (pass/fail with dimensions and reasons), which clearly distinguishes it from siblings like crop_image, resize_image, or inspect_image.

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

Usage Guidelines4/5

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

The description gives clear context for when to use the tool: validating images against publishing requirements, print sizes, or asset pipeline conventions before editing. It does not explicitly exclude alternatives or name sibling tools such as fit_to_spec or inspect_image, so it stops short of a 5.

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

crop_imageB

Crop to an exact pixel rectangle.

x/y are the top-left offset in DISPLAYED orientation. Fails clearly if the rectangle falls outside the image rather than silently clamping.

ParametersJSON Schema
NameRequiredDescriptionDefault
xNo
yNo
widthYes
heightYes
backendNo
qualityNo
input_pathYes
output_pathYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden and delivers important details: x/y are interpreted in DISPLAYED orientation and out-of-bounds rectangles fail clearly instead of silently clamping. It could disclose overwrite behavior or backend semantics, but the core failure and orientation behavior is well covered.

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?

Three sentences, no filler, and the most decision-relevant information is front-loaded. Every sentence earns its place.

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 an 8-parameter tool with no annotations and 0% schema coverage, the description is too thin. It omits backend and quality meaning and does not state whether output_path overwrites existing files, leaving an agent to guess on non-obvious options even though required paths are given in the schema.

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?

The schema has 0% parameter descriptions, so the description must compensate. It adds meaning for x/y as top-left offsets in displayed orientation and implies width/height are pixel-based, but backend and quality are left unexplained, and input_path/output_path semantics are still only inferable from their names.

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 opens with 'Crop to an exact pixel rectangle', which clearly identifies the operation and resource. It also distinguishes this tool from siblings like crop_to_aspect and crop_square by emphasizing exact pixel dimensions, though it does not explicitly name those alternatives.

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 explicit guidance on when to use this tool versus crop_to_aspect, crop_square, or other siblings. The phrase 'exact pixel rectangle' implies a use case, but no when-to-use or when-not-to-use context is provided.

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

crop_squareB

Crop to the largest possible square.

anchor picks which part of the frame to keep: center (default), top, bottom, left, right, or a corner such as topleft.

ParametersJSON Schema
NameRequiredDescriptionDefault
anchorNocenter
backendNo
qualityNo
input_pathYes
output_pathYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations, the description bears the behavioral burden. It does explain that the crop keeps the largest possible square and that the anchor determines which part of the frame survives, including the center default. However, it does not disclose what backend or quality do, whether files are overwritten, or what side effects occur beyond writing output.

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 compact and front-loaded. The main action appears in the first sentence, and the second sentence earns its place by clarifying the anchor parameter. There is no redundant or filler content.

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 description is minimally adequate for a simple crop operation: it states the core behavior and the key anchor option. But with five parameters and no annotations, important details like backend and quality semantics are missing, and no usage context versus sibling tools is provided. The presence of an output schema lowers the burden for return-value documentation.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate for the schema's silence. It adds helpful semantics for anchor by enumerating valid values and the default. It leaves backend and quality completely unexplained, and input_path/output_path relationships are only implicit from the tool's name.

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

Purpose4/5

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

The description clearly states the tool's action and resource: 'Crop to the largest possible square.' It also adds meaningful detail about the anchor parameter. It does not explicitly name or differentiate from sibling tools like crop_to_aspect or crop_image, but the square-only behavior is reasonably distinctive.

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

Usage Guidelines2/5

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

There is no guidance on when to use crop_square versus the many sibling cropping/resizing tools. The description does not state prerequisites, exclusions, or conditions that would help an agent select this tool over crop_to_aspect, crop_image, or adjust_image.

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

crop_to_aspectB

Crop to a target aspect ratio (width/height), keeping maximum area.

Use 1.0 for square, 1.3333 for 4:3, 1.5 for 3:2, 1.7778 for 16:9.

ParametersJSON Schema
NameRequiredDescriptionDefault
ratioYes
anchorNocenter
backendNo
qualityNo
input_pathYes
output_pathYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the behavioral transparency burden. It discloses the 'keeping maximum area' behavior and explains the ratio meaning, which is useful. However, it does not mention important behaviors like default anchoring, quality handling, or whether the operation modifies the input image.

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 compact, front-loaded with the core behavior, and every sentence adds value. The ratio examples are practical and directly aid correct invocation.

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

Completeness2/5

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

For a tool with no annotations, 6 parameters, and zero schema description coverage, the description is too sparse. It fails to clarify optional parameters or provide enough context to confidently invoke the tool beyond the basic ratio and paths.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It meaningfully explains the ratio parameter with examples, but provides no additional semantics for anchor, backend, quality, input_path, or output_path. This leaves several parameters underdocumented.

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

Purpose4/5

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

The description clearly states the tool crops to a target aspect ratio while keeping maximum area, with concrete ratio examples. It is specific enough to be understood, though it does not explicitly differentiate itself from sibling tools like crop_image or crop_square.

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 provides common ratio values but offers no guidance on when to choose this tool over alternatives such as crop_image, crop_square, or fit_to_spec. There are no exclusions or explicit usage scenarios.

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

enhance_imageA

Tone and detail enhancement in one pass.

gamma lifts midtones and shadows via levels, leaving the black and white points alone so nothing clips. 1.0 = off. contrast GIMP 3 native -1..1. 0 = off. saturation -100..100. 0 = off. sharpen high-pass sharpen blended back at this percent opacity, 0 = off. Preferred over unsharp mask, which haloes. sharpen_radius blur radius in pixels for the high pass (default 8).

Contrast bites harder than the same nominal value did in GIMP 2.x, because GIMP 3 runs the operation in linear light: 2.x's "+12" is roughly 0.020 here, not 0.094. Calibrate against output rather than remapping an old number.

ParametersJSON Schema
NameRequiredDescriptionDefault
gammaNo
backendNo
qualityNo
sharpenNo
contrastNo
input_pathYes
saturationNo
output_pathYes
sharpen_radiusNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.9/5.0
Behavior5/5

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

With no annotations, the description carries the full burden, and it delivers: it explains that gamma avoids clipping by preserving black/white points, sharpen is high-pass blended back at a given opacity, and contrast runs in GIMP 3 linear light, with explicit calibration caveats. This gives agents a strong model of the tool's actual behavior.

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 one-line purpose is front-loaded, each parameter gets a compact line, and the GIMP 3 calibration note earns its place. There is no filler or redundant restatement of the schema.

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 9-parameter tool with no annotations, the description is thorough on the core enhancement behavior and parameter semantics. It is not fully complete because backend and quality are unexplained, and no sibling-tool comparison is given, leaving some ambiguity in tool selection.

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

Parameters4/5

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

Schema description coverage is 0%, and the description compensates well by explaining gamma, contrast, saturation, sharpen, and sharpen_radius with scales and defaults. However, backend and quality are left undocumented in the description, so their semantics remain ambiguous.

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 operation ('Tone and detail enhancement in one pass') and elaborates on what each control does, so an agent understands the tool's role. It does not explicitly differentiate it from sibling tools like adjust_image or process_image, so it falls short of a 5.

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

Usage Guidelines2/5

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

There is no guidance about when to choose enhance_image over the many sibling image tools, nor exclusions for when not to use it. The parameter-level note about preferring high-pass sharpen over unsharp mask is useful but not tool-selection guidance.

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

fit_to_specA

Transform an image until it satisfies a dimension specification.

Crops to fix the orientation if required, upscales to reach a minimum size, downscales to respect a maximum, and optionally applies a light touch-up -- all in one pass, so the JPEG is re-encoded only once. Images already satisfying a constraint keep their framing.

Example: to produce a square image at least 1000x1000, pass orientation="square" with min_width=1000 and min_height=1000.

ParametersJSON Schema
NameRequiredDescriptionDefault
anchorNocenter
backendNo
qualityNo
upscaleNo
contrastNo
max_widthNo
min_widthNo
brightnessNo
input_pathYes
max_heightNo
min_heightNo
orientationNoany
output_pathYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral burden, and it does well: it discloses cropping, upscaling, downscaling, optional touch-up, single re-encode of JPEG, and preservation of already-compliant framing. It leaves some specifics unstated (e.g., overwrite behavior, failure conditions, handling of non-JPEG inputs), which prevents a 5.

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?

Three short paragraphs, all informative: the first sentence states the purpose, the second explains the mechanism, and the example grounds the parameters. No filler or repetition of schema field names, and the key operations are front-loaded.

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 13-parameter tool with no annotations and no schema descriptions, the description covers the core workflow adequately but omits enough optional-parameter semantics to be fully self-contained. The presence of an output schema means return values need not be described, but the parameter gaps and lack of sibling differentiation leave clear holes.

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 0%, so the description must explain parameters; it gives meaning to orientation, min_width, min_height, and the max constraints via the example and operation summary. However, many of the 13 parameters (anchor, backend, quality, upscale, contrast, brightness, max_width/max_height defaults) are not explained in the description or schema, leaving significant inference required.

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

Purpose5/5

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

The description opens with a precise verb and resource: 'Transform an image until it satisfies a dimension specification,' then enumerates the exact operations (crop for orientation, upscale, downscale, optional touch-up) and gives a concrete square-image example. This clearly separates the tool from generic resize/crop siblings by emphasizing the all-in-one constraint-satisfaction behavior.

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

Usage Guidelines3/5

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

The use case is implied clearly: call this tool when an image must meet dimension constraints (min/max width/height, orientation) in one pass. However, it never explicitly tells an agent when to prefer fit_to_spec over sibling tools like crop_to_aspect, resize_image, or process_image, nor states when not to use it.

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

gimp_statusA

Check that GIMP is reachable and report its version.

Use this first if anything seems wrong. Reports both the headless backend and whether the live bridge plug-in is running inside an open GIMP.

ParametersJSON Schema
NameRequiredDescriptionDefault
backendNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.7/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses what the tool reports (headless backend status and live bridge plug-in state) beyond a simple reachability check, which adds useful behavioral context. It doesn't explicitly state non-destructive behavior, but 'check' and 'report' strongly imply a read-only operation.

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?

Two sentences, with the core purpose front-loaded and a clear usage directive. There is no filler or redundancy; every sentence earns its place.

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 status tool with one optional parameter, an output schema, and no required inputs, the description covers purpose, usage, and report contents. The only notable gap is the undocumented 'backend' parameter, but the tool can be correctly invoked with no arguments, so the description is mostly complete.

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

Parameters1/5

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

Schema description coverage is 0%, and the description never mentions the single optional 'backend' parameter or its meaning. An agent cannot determine what value to pass or why the parameter exists. The description mentions 'headless backend' as reported output, but that doesn't clarify the parameter's role.

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

Purpose5/5

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

The description clearly states a specific verb and resource: 'Check that GIMP is reachable and report its version.' It also distinguishes itself from the many sibling processing tools by being a diagnostic/status tool, not an image manipulation operation.

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

Usage Guidelines4/5

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

The description provides explicit usage context: 'Use this first if anything seems wrong.' This tells the agent when to invoke it, though it doesn't name specific alternatives or exclusions. The first-step diagnostic role is clear enough for practical use.

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

inspect_imageB

Report an image's dimensions, layers, and orientation.

Dimensions are reported as DISPLAYED (EXIF orientation applied), which is what a viewer sees -- not necessarily how the pixels are stored.

ParametersJSON Schema
NameRequiredDescriptionDefault
pathYes
backendNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the full burden. It usefully discloses that dimensions are reported in displayed form after EXIF orientation is applied, not as raw stored pixels. This is a meaningful behavioral nuance, though it could also mention that this is a read-only operation.

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 brief, front-loads the main purpose, and includes only the essential EXIF detail. Every sentence contributes value and there is no redundant 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?

For a simple inspection tool with an output schema, the description covers the core result and a key display nuance. However, it lacks an explanation of the backend parameter and gives no guidance on when this tool should be preferred over related tools, leaving some gaps in completeness.

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

Parameters1/5

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

Schema description coverage is 0%, so the description must compensate, but it adds no information about the path or backend parameters. The backend parameter is completely unexplained, and the description only implies the image is referenced by path without discussing either parameter.

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

Purpose5/5

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

The description clearly states a specific verb ('Report') and a specific resource ('an image's dimensions, layers, and orientation'). This distinguishes it from sibling tools that crop, resize, or process images rather than inspect metadata.

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 is provided, and it does not mention alternatives such as check_image_spec or other inspection-like siblings. The intended context must be inferred from the tool name and description, so there is no explicit usage guidance.

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

live_list_imagesA

List the images currently open in the running GIMP.

Requires the bridge plug-in (Filters > Development > Start MCP Bridge).

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It usefully reveals that the tool depends on the bridge being started and reads current live GIMP state. 'List' implies a non-mutating operation, and the output schema covers return structure, so this is transparent enough for a simple read-only tool.

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?

Two short sentences, with the core purpose front-loaded and the required setup immediately after. Every sentence earns its place and there is no redundant wording.

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

Completeness5/5

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

For a zero-parameter live listing tool, the description covers what it does, the environment prerequisite, and leaves return details to the output schema. Nothing essential is missing.

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

Parameters4/5

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

The input schema has zero parameters, so there is nothing for the description to clarify about arguments. Per the baseline for no-parameter tools, this is appropriately handled.

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

Purpose5/5

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

The description uses a specific verb ('List') and a specific resource ('images currently open in the running GIMP'), making the tool's function immediately clear. It is naturally distinguishable from sibling tools like crop_image, gimp_status, and inspect_image.

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

Usage Guidelines4/5

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

It clearly conveys that this tool is for querying the current live set of open images in GIMP, and it flags the prerequisite of the bridge plug-in. It does not explicitly compare to alternatives, but the zero-parameter live-listing purpose is self-evident enough for an agent to know when to use it.

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

live_run_pythonA

Execute Python inside the running GIMP and return result.

The Gimp module and every operation helper are already in scope. Assign to a variable named result to return a value. Escape hatch for anything the typed tools above do not cover; requires the bridge plug-in.

ParametersJSON Schema
NameRequiredDescriptionDefault
codeYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.4/5.0
Behavior3/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It usefully explains that GIMP modules and helpers are in scope and that a `result` variable must be assigned to return a value. However, it does not disclose that arbitrary Python execution can mutate or destroy GIMP state, crash the session, or have irreversible side effects, which is a significant transparency gap for an unbounded execution tool.

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 short, front-loaded with the main purpose, and every sentence earns its place: execution semantics, scope context, return-value convention, use-case, and prerequisite. No filler or redundant restating of the tool name.

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?

Given the presence of an output schema, the description does not need to explain return structure. It covers the parameter, the execution environment, the return mechanism, and the prerequisite. The main missing piece is a warning about the destructive or uncontrolled nature of raw Python execution, which matters for a tool of this complexity and power.

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

Parameters4/5

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

Schema coverage is 0%, so the description must compensate. It does meaningfully: it tells the agent that `code` is Python to execute inside GIMP, that modules are already in scope, and that assigning to `result` controls the return value. This gives the single parameter real semantic grounding beyond the bare name 'code'.

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

Purpose5/5

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

The description clearly states a specific verb+resource: 'Execute Python inside the running GIMP and return `result`'. It also differentiates itself from the typed sibling tools by describing itself as an 'escape hatch for anything the typed tools above do not cover', so an agent can distinguish it at a glance.

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

Usage Guidelines5/5

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

It explicitly tells the agent when to use this tool: when the typed tools do not cover the needed operation. It also establishes the prerequisite that the bridge plug-in must be present. This provides clear when-to-use context and points to the sibling tools as the preferred alternative.

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

live_screenshotA

Save a flattened snapshot of an image open in the running GIMP.

Lets you see the current state of a document you are editing live, then iterate on it. Requires the bridge plug-in.

ParametersJSON Schema
NameRequiredDescriptionDefault
max_edgeNo
image_indexNo
output_pathYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.6/5.0
Behavior4/5

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

With no annotations, the description carries the behavioral disclosure burden. It does disclose key behavioral traits: it saves a flattened/live snapshot and depends on the bridge plug-in. It does not discuss whether the original image is modified or whether an existing output file is overwritten, but 'snapshot' implies a non-destructive capture.

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

Conciseness4/5

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

The description is short and front-loaded with the action, and the bridge plug-in requirement is worth stating. The sentence about seeing current state and iterating is somewhat redundant with 'snapshot' and 'live,' but it adds useful intent context without bloating the description.

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?

The tool has three parameters, no annotations, and 0% schema description coverage, so the description must compensate. It gives a clear purpose and prerequisite but leaves max_edge and image_index undefined, and does not explain output_path semantics or file format. An agent could invoke it with defaults, but not understand the full behavior.

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

Parameters1/5

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

Schema description coverage is 0%, yet the description does not explain any of the three parameters. Output_path is only implied by 'Save', while max_edge and image_index—especially which open image is captured—are not described at all, so the description adds no parameter meaning beyond the schema.

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

Purpose5/5

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

The opening phrase 'Save a flattened snapshot of an image open in the running GIMP' names a specific verb, a concrete resource, and a key behavior (flattening). This clearly separates it from siblings like inspect_image and live_list_images, so an agent can distinguish the tool without opening the schema.

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

Usage Guidelines4/5

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

The description gives clear context: use it when you need to see the current state of a live document and iterate on it. It also states a prerequisite ('Requires the bridge plug-in'), but it does not explicitly mention alternative tools or when not to use it.

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

live_stop_bridgeA

Stop the bridge inside the running GIMP, leaving GIMP itself open.

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.5/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It clearly states that the bridge is stopped and that GIMP remains open, which are the two key behavioral consequences. It does not mention edge cases like stopping an already-stopped bridge, but for a zero-parameter control action this is adequate.

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 a single sentence with no wasted words. It front-loads the core action and adds the important clarifying detail about GIMP remaining open. Every word earns its place.

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

Completeness5/5

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

For a zero-parameter tool with a simple, well-defined action, the description is complete. It tells the agent exactly what happens and what does not happen. The output schema is present, so return-value details are not required in the description.

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

Parameters4/5

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

The tool has zero parameters, so the baseline is 4. The description correctly includes no parameter-specific details because none are needed. There is no schema information to supplement or contradict.

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

Purpose5/5

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

The description uses a specific verb and resource: 'Stop the bridge inside the running GIMP'. It also explicitly clarifies that GIMP itself remains open, which disambiguates this from closing GIMP. This is a clear, distinct purpose among the sibling tools.

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

Usage Guidelines4/5

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

The description clearly states the context: the bridge is running inside GIMP, and the tool stops only the bridge. It does not explicitly name alternatives or when-not-to-use, but no sibling tool appears to perform a similar stop action, so the context is sufficient for correct selection.

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

process_imageA

Apply a custom sequence of operations in one pass.

operations is a JSON list, e.g. [{"op":"crop_square","anchor":"center"}, {"op":"resize","max_edge":2000}, {"op":"adjust","brightness":0.05}]

Available ops: crop, crop_square, crop_aspect, resize, adjust, autocrop, flatten, fit_spec, enhance. Running them as one pipeline re-encodes the JPEG only once, which avoids stacking compression artefacts.

The optional spec arguments are checked against the FINAL result and reported under spec, so a pipeline that both reshapes and edits an image can be validated without a second pass over it.

ParametersJSON Schema
NameRequiredDescriptionDefault
backendNo
qualityNo
max_widthNo
min_widthNo
input_pathYes
max_heightNo
min_heightNo
operationsYes
orientationNoany
output_pathYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It adds meaningful details: single-pass processing, one-time JPEG re-encoding, and that optional spec arguments are validated against the final result and reported under `spec`. It does not cover failure modes or input format restrictions, but the core execution behavior is transparent.

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 tightly structured: a one-sentence purpose, a concrete operations example, a concise list of available ops, and two short paragraphs explaining the pipeline benefit and spec-checking behavior. Every sentence earns its place, and the core purpose is front-loaded.

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 10-parameter tool with no annotations and zero schema descriptions, the description is not fully complete. It covers the central `operations` parameter and the pipeline concept well, but it leaves the optional spec arguments and other tuning parameters under-specified, which an agent would need to invoke the tool correctly for advanced use.

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 0%, so the description must compensate. It does a good job on `operations`, showing a full JSON example and listing valid op names, and it alludes to 'spec arguments'. However, it does not explain other parameters such as `quality`, `backend`, `max_width`, `min_width`, `max_height`, `min_height`, or `orientation`, leaving significant semantic gaps.

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

Purpose5/5

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

The description opens with a clear verb and resource: 'Apply a custom sequence of operations in one pass.' It explicitly lists the available operations, which map directly to the sibling individual-operation tools, so an agent can tell that this is the composite/pipeline counterpart to crop_image, resize_image, adjust_image, etc.

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

Usage Guidelines4/5

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

It gives a concrete reason to choose this tool over chaining siblings: running operations as one pipeline re-encodes the JPEG only once and avoids stacking compression artifacts. It does not explicitly state when to prefer a single-operation sibling, but the 'custom sequence' framing and op list make the intended usage clear.

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

resize_imageA

Resize an image.

Give width, height, both, or max_edge (longest side, aspect preserved). With preserve_aspect and both dimensions, the image is fitted inside the box rather than distorted.

ParametersJSON Schema
NameRequiredDescriptionDefault
widthNo
heightNo
backendNo
qualityNo
max_edgeNo
input_pathYes
output_pathYes
preserve_aspectNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.5/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It usefully explains aspect-ratio preservation and that both dimensions with preserve_aspect fits the image inside the box rather than distorting it. However, it says nothing about defaults, behavior when no sizing parameter is provided, backend handling, quality interpretation, or whether output files are overwritten.

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 tight and front-loaded, with 'Resize an image' first and only the most decision-relevant parameter guidance following. Every sentence earns its place and there is minimal fluff.

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 an 8-parameter tool with no annotations and zero schema descriptions, the description covers the core sizing behavior well but leaves gaps around backend, quality, validation, and edge cases. The presence of an output schema reduces the need to explain return values, but the description is still only moderately complete for correct invocation.

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 0%, so the description must compensate for missing parameter documentation. It adds meaning for width, height, max_edge, and preserve_aspect, and the required input/output paths are reasonably self-explanatory from their names. But backend and quality receive no explanation, leaving two parameters underspecified.

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 opening line 'Resize an image' states a specific verb and resource, and the parameter combinations (width, height, max_edge, preserve_aspect) make the tool's purpose clear. It does not explicitly distinguish itself from sibling tools like crop_image or adjust_image, but 'resize' is distinct enough on its own.

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

Usage Guidelines3/5

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

The description explains how to use the tool's sizing modes ('Give width, height, both, or max_edge') and the behavior of preserve_aspect, which is operational guidance. However, it does not say when to prefer this tool over alternatives such as crop_to_aspect, fit_to_spec, or process_image.

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. 18 tool updatesv0.1.0
    • First observedadjust_image
    • First observedbatch_check_image_spec
    • First observedbatch_fit_to_spec
    • First observedbatch_process
    • First observedcheck_image_spec
    • First observedcrop_image
    • First observedcrop_square
    • First observedcrop_to_aspect
    • First observedenhance_image
    • First observedfit_to_spec
    • First observedgimp_status
    • First observedinspect_image
    • First observedlive_list_images
    • First observedlive_run_python
    • First observedlive_screenshot
    • First observedlive_stop_bridge
    • First observedprocess_image
    • First observedresize_image

TDQS

A3.5/5.0

Scored across 18 tools

Disambiguation3/5

Several tools overlap in purpose: adjust_image and enhance_image share the same contrast call, and process_image/batch_process can reproduce the effects of most individual editing tools. The descriptions generally clarify scope, but an agent could easily hesitate between a dedicated single-op tool and its pipeline equivalent.

Naming Consistency4/5

Most tools follow a clear verb_object snake_case pattern such as crop_image, resize_image, inspect_image, and batch_check_image_spec. The batch_ and live_ prefixes are applied consistently, with only gimp_status and fit_to_spec deviating slightly from the otherwise predictable pattern.

Tool Count4/5

At 18 tools the server is slightly above the ideal 3-15 range, but the count is justified by the distinct clusters: single-image operations, spec checking/fitting, batch variants, and live GIMP bridge tools. The single/batch pairs add surface area but each serves a real workload.

Completeness4/5

The toolset covers the core image pipeline well: inspect, validate, crop, resize, adjust, enhance, process in one pass, and batch over folders. Obvious gaps like rotation or flipping are absent, but live_run_python and process_image provide workarounds for most missing operations.

Maintenance

ActivitySlowing
ResponsivenessNo issues

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