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docs: reflow hard-wrapped prose to one line per paragraph
Markdown and editors soft-wrap on their own, so the manual ~75-char line breaks across the docs added nothing but noise. Join wrapped prose, list items, and paragraphs into single lines across 67 docs — README, CLAUDE.md, deployment, usage, the RAG knowledge base, and the agent role prompts. Whitespace-only: code fences, tables, and blockquote alerts are byte-identical and the change is token-verified (no content altered). Applied with a deterministic reflow tool (committed separately). Also lands two doc edits that were awaiting commit: the measured under-load resource numbers in usage.md and the pr_reviewer additions to the org-structure RAG doc.
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# Journal Tools
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There is **no** `roboco_journal_*` tool. Journaling is a single content
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tool on the `roboco-do` MCP server: `note`. The `scope` argument selects
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the entry kind; structured fields are filled per scope.
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There is **no** `roboco_journal_*` tool. Journaling is a single content tool on the `roboco-do` MCP server: `note`. The `scope` argument selects the entry kind; structured fields are filled per scope.
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```python
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note(
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)
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```
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`text` is always required. Missing narrative fields default to a visible
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placeholder rather than being rejected — the note is always recorded.
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`text` is always required. Missing narrative fields default to a visible placeholder rather than being rejected — the note is always recorded.
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## Scopes
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## Reflection
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Use a `reflect`-scope note before submitting to QA — it gives QA the
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"why" behind the diff.
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Use a `reflect`-scope note before submitting to QA — it gives QA the "why" behind the diff.
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```python
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note(
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## Reading Journals
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Journals are written by `note` and surface through the knowledge base —
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there is no separate journal-read tool. Search past notes (yours and
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your team's, where permitted) via the `roboco-optimal` MCP server:
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Journals are written by `note` and surface through the knowledge base — there is no separate journal-read tool. Search past notes (yours and your team's, where permitted) via the `roboco-optimal` MCP server:
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```python
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# Semantic search over indexed notes/decisions/learnings
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