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Read-only

【認証不要(公式サンプルの公開コンテンツのみ)】匿名では公式サンプルだけを返し、それ以外はログインが必要(401)。IceShore プロジェクト 1 件の ADL と添付ファイルを返す。 用途: 既存プロジェクトの参照、保存・更新の結果の確認(get_content(mode='detail') の戻りが保存後の実際の状態の正典)。 id は list_projects または list_samples が返す、"d" で始まる内部 ID。 mode の違い:

  • "meta": メタ情報だけ。S3 を読まないので速い(10 秒以上短い)

  • "root": ADL 本体(adlRoot)だけ

  • "detail": 全ファイル。大きく、30 秒ほどかかる場合がある 出力: { code, id, mode, data, type, role, ownerID, ... }。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
idYesIceShore プロジェクト ID("d" で始まる内部ID。list_projects / create_content が返す id。例: d9289696c392a29e188.13397864。URL スラグの "I…" 形式は使用不可)
modeNo取得モード。 - "meta" (速い・推奨デフォルト): 重い codes blob を S3 から読まない。overview/role 等のメタ情報のみ。10 秒以上短縮可。 - "root" (中): codes を adlRoot 1 件に絞る。ADL 構造だけ欲しい時。 - "detail" (既定値、重い): 全 codes を返す。プロビジョニングファイル全件を参照する時のみ。
localeNo表示ロケール (en/ja 等)。省略時は en

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior5/5

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

Annotations already cover the safety profile (readOnly/non-destructive), and the description adds substantial behavioral context beyond them: anonymous access returns only official samples and otherwise yields 401, per-mode latency ('meta' saves 10+ seconds, 'detail' may take ~30 seconds), and the return envelope shape. This is exactly the auth and performance disclosure the agent needs.

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?

Front-loaded with the authentication caveat, then purpose, id source, mode tradeoffs, and output shape in clearly labeled sections. It is somewhat long and the mode section repeats schema text, but every block is navigable and 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 read-only retrieval tool with no output schema, the description covers everything needed to call it correctly: auth behavior, required id format ('d'-prefix vs the unusable 'I...' URL slug), default and alternative modes with cost implications, and the return envelope. Nothing material 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 coverage is 100%, so the schema already documents id, mode, and locale. The description's mode explanations largely duplicate the enum descriptions in the schema, so it adds little beyond the baseline; a 3 is appropriate when the schema does the heavy lifting.

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?

States a specific verb and resource ('Returns the ADL and attachments for one IceShore project') and names the sibling tools that supply the required id (list_projects / list_samples). An agent can distinguish this lookup tool from list_projects, list_samples, and save_content without opening any 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?

Gives concrete usage contexts (referencing existing projects, verifying the result of a save/update, with get_content(mode='detail') positioned as the canonical post-save state). It routes the agent to list_projects/list_samples for the id, but stops short of explicitly stating 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.

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