feat(tools): give every assistant the Daedalus workspace file tools

All 17 assistants can now read and write their Daedalus workspace. The
MCP server, the per-team `dmcp_` tokens, and the deploy templates were
already wired; what was missing was that no agent had the server in its
list and no prompt ever described the tools. Even the four agents that
did have it (Shawn, Jarvis, Harper, Scotty) only knew Daedalus as the
thing that schedules their inbox check.

Adds the tool docs (docs/tools/daedalus.md human reference,
prompts/tools/daedalus.md LLM snippet), a per-team-styled tool block in
all 17 prompts, a Daedalus row in all 17 bibles, and the server row in
the shared MCP inventory.

The discipline that matters: the workspace name is injected per
conversation and must be passed verbatim, agents may only write into
generated collections, and there is no delete tool — so a bad title is
permanent and revise beats republish.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

docs/personal/hypatia.md

@@ -58,6 +58,7 @@ Books get `Book` nodes (title, author, status, themes, takeaways). Authors get `
 | **Neo4j** | Book, Author, Topic, LearningPath, Concept, Quote nodes. Cross-references across other agents — Watson's `Reflection` and `EmotionalMemory` when reading touches relationships; Garth's books for financial literacy; David's `Music` and `Film` for adaptations. |
 | **Argos** | Researching a book before recommending it; finding what's been written about a concept; locating primary sources |
 | **Orpheus** | Pedagogical use — demonstrating music-theory concepts on the piano. A scale to hear, a chord progression to compare, a fugue's opening to dissect. Use when *hearing* the concept teaches faster than describing it. |
+| **Daedalus** | Workspace files. Read what Robert has uploaded into the current workspace (e.g. Home); publish finished documents into the `published` collection and revise them later. The workspace is injected per conversation, not fixed per agent. |
 | **Time** | Date-stamping reading sessions, tracking when Robert read what, "when did I last read about X" calculations |
 
 For deep multi-query research on a topic or author, delegate to the **research** subagent rather than running long Argos chains.