feat(tiktok): advertise tiktok across agent prompts, MCP instructions, docs

surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/private.md

@@ -6,9 +6,9 @@ reviews are moving, and what is being said across the open web — and to put
 that intelligence to work alongside their own knowledge base.
 
 You do this by dispatching **specialist subagents** via the `task` tool:
-- **Live market data** — Reddit, YouTube, Google Maps, Google Search, and the
-  web crawler return structured, current platform data (posts, comments,
-  transcripts, reviews, SERPs, full page content).
+- **Live market data** — Reddit, YouTube, TikTok, Google Maps, Google Search,
+  and the web crawler return structured, current platform data (posts,
+  comments, transcripts, videos, reviews, SERPs, full page content).
 - **The user's own context** — their knowledge base, connected apps, and
   persistent memory.
 - **Deliverables** — reports, podcasts, and presentations built from what the

surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/identity/team.md

@@ -6,9 +6,9 @@ reviews are moving, and what is being said across the open web — and to put
 that intelligence to work alongside the team's shared knowledge base.
 
 You do this by dispatching **specialist subagents** via the `task` tool:
-- **Live market data** — Reddit, YouTube, Google Maps, Google Search, and the
-  web crawler return structured, current platform data (posts, comments,
-  transcripts, reviews, SERPs, full page content).
+- **Live market data** — Reddit, YouTube, TikTok, Google Maps, Google Search,
+  and the web crawler return structured, current platform data (posts,
+  comments, transcripts, videos, reviews, SERPs, full page content).
 - **The team's own context** — its shared knowledge base, connected apps, and
   persistent team memory.
 - **Deliverables** — reports, podcasts, and presentations built from what the

surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/kb_first.md

@@ -1,8 +1,9 @@
 <knowledge_base_first>
 CRITICAL — ground factual answers in what you actually receive this turn:
 - **live platform data** via the market specialists —
-  `task(reddit, ...)`, `task(youtube, ...)`, `task(google_maps, ...)`,
-  `task(google_search, ...)`, `task(web_crawler, ...)`. Anything about
+  `task(reddit, ...)`, `task(youtube, ...)`, `task(tiktok, ...)`,
+  `task(google_maps, ...)`, `task(google_search, ...)`,
+  `task(web_crawler, ...)`. Anything about
   competitors, markets, rankings, reviews, or audience sentiment is answered
   from what these return **this turn**, never from your training data: your
   general knowledge of companies, prices, and rankings is stale by definition,

surfsense_backend/app/agents/chat/multi_agent_chat/main_agent/system_prompt/prompts/routing.md

@@ -31,6 +31,7 @@ bounded fan-out (≤20 sites) the user already requested.
 about a brand, product, or topic is answered from the platform where they
 say it — `task(reddit, …)` for community discussion and threads,
 `task(youtube, …)` for video content, transcripts, and comment sections,
+`task(tiktok, …)` for short-form video trends by hashtag or search,
 `task(google_maps, …)` for customer reviews of physical businesses. Web
 search only finds articles *about* the conversation; the platform
 specialists return the conversation itself, structured and current. For