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Phil Whittakerclaude
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Fix final long sentences in best practice and context engineering docs
- Line 107 in best-practice/README.md (27 → 19 + 10 words) - Line 116 in best-practice/README.md (27 → 12 + 18 words) - Line 69 in context-enginerring.md (27 → 11 + 20 words) All sentences now under 25 words for improved readability. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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16/umbraco-cms/reference/developer-mcp/best-practice/README.md

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@@ -104,7 +104,7 @@ Use:
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Update the Document Type to include a new "SEO Description" property and apply it to all "Blog Post" nodes.
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- **Mention tools or entities by name**
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If you've enabled tools like ```document-type, media, or data-type```, refer to them directly in your prompt to help the model understand what it can access.
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If you've enabled tools like ```document-type, media, or data-type```, refer to them directly in your prompt. This helps the model understand what it can access.
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- **Use system instructions or context files for background**
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Offload rules, terminology, or structural constraints into a dedicated instruction file. This keeps prompts cleaner and context more focused.
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Don’t try to do everything in one prompt. Sequence multi-step operations (e.g., create types → add content → apply relations) across multiple turns for better results.
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{% hint style="info" %}
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If a prompt fails or produces a weak result, try these approaches: simplify it, restate it with clearer intent, or reduce the number of active tools.
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If a prompt fails or produces a weak result, try these approaches. Simplify it, restate it with clearer intent, or reduce the number of active tools.
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{% endhint %}

16/umbraco-cms/reference/developer-mcp/concepts/context-enginerring.md

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@@ -38,11 +38,11 @@ It’s about curating and managing what gets sent to the model:
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## Why Context Engineering Is So Important
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In the early days of large language models (LLMs), the context of a conversation was straightforward — only your messages and the model's responses.
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Conversations were short and easy to follow, but even then, you could see context drift. As earlier parts of the discussion faded, the model's memory weakened and response quality declined.
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Conversations were short and straightforward to follow, but even then, you could see context drift. As earlier parts of the discussion faded, the model's memory weakened and response quality declined.
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Today, however, the landscape has changed dramatically.
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Modern AI systems rely on increasingly **complex and layered contexts**, which include far more than just the user conversation. A single MCP-driven interaction may now contain:
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Modern AI systems rely on increasingly **complex and layered context**, which include far more than only the user conversation. A single MCP-driven interaction may now contain:
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- A **system prompt** (the invisible instructions defining the model’s role and tone).
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- **Rules or instruction** files that constrain or enhance model behavior.
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This makes requests more effective, efficient, and more likely to succeed. It also makes prompts easier to write, reuse, and maintain.
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{% hint style="info" %}
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Think of context engineering as the art of precision storytelling: every piece of information you include should help the model stay on track and deliver value.
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Think of context engineering as the art of precision storytelling. Every piece of information you include should help the model stay on track and deliver value.
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{% endhint %}
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Your choice of enabled tools directly shapes the quality of your context.

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