Beever Atlas

Answer a natural-language QUESTION about one channel with synthesized, cited reasoning. The flagship retrieval tool — call it when the user asks anything that needs an ANSWER rather than raw rows.

When to use: any question about a channel's content where you want a composed answer with citations and reasoning across multiple messages ("what did we decide about X", "why did the project slip").

When NOT to use: exact keyword/semantic lookup of individual facts (use search_channel_facts); cross-channel recall when you don't know which channel holds the answer (use search_memory); a deterministic substring scan (use find_facts). Those are faster and return raw rows, not prose.

Prerequisites: a channel_id from list_channels.

Returns (instant for 'quick', long-running up to a 90s hard cap for 'deep'/'summarize'): a dict {answer: str, citations: [{fact_id, text, permalink, author, ts}], follow_ups: [str], metadata: {mode, ...}}. Read-only — no side effects, triggers no jobs.

Error modes (all returned as {error: ...} dicts, never exceptions): 'authentication_missing' (no principal); 'invalid_parameter' (empty/over- 4000-char question, or mode not in quick/deep/summarize); 'channel_access_denied' (token lacks access to channel_id); 'answer_timeout' (exceeded the 90s cap — retry with mode='quick'); 'adk_error' (internal pipeline failure).

List the DECISIONS recorded in one channel, each with its rationale and rejected alternatives. Call it to answer "what did the team decide and why" when you want the structured decision record, not free-text facts. Returns a bare LIST and collapses missing-auth, access-denied, and internal errors into an EMPTY LIST — so [] means either no decisions OR no access; it never returns a structured error object and never raises.

Disambiguation among the decision tools: use find_decisions for the current decision RECORDS in one channel (with rationale + alternatives_rejected). Use trace_decision_history to follow how one decision SUPERSEDED earlier ones over time (a graph timeline). Prefer find_decisions over find_facts(fact_type='decision') because only this tool enriches each result with rationale and alternatives.

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): a LIST (not a dict) of decisions sorted by decided_at descending, each {fact_id, decision (first sentence), decided_by, decided_at (YYYY-MM-DD), rationale (null if not yet extracted), alternatives_rejected, page_slug (empty if no host page yet)}. No side effects.

Error handling: on missing auth, access denial, or internal error this tool returns an EMPTY LIST [] rather than an error object (it never raises). An empty list therefore means either no decisions or no access — confirm access with list_channels if unexpected.

Rank the PEOPLE most knowledgeable about a topic in one channel.

Call this to answer "who should I ask about X in #channel?" or to route a question to the right person. This is the only tool that ranks PEOPLE; use search_channel_facts / find_facts to find FACTS, and find_experts only when you specifically need a human.

Prerequisite: a channel_id from list_channels. Do NOT call with a channel display name.

Returns (instant, read-only, no side effects): {"experts": [...]} — a list ranked by expertise_score descending. Each entry has handle (e.g. '@dana'), expertise_score (relative float, higher = more authoritative; not a fixed 0–1 scale, only meaningful for ranking within this result), fact_count (number of contributing facts), and top_topics (list of related topics that person engages with). An empty list means no graph signal for that topic — not an error.

Error modes: {"error": "authentication_missing"} if the caller is unauthenticated; {"error": "channel_access_denied", "channel_id": ...} if the principal cannot read the channel; {"error": "invalid_parameter", ...} for a malformed channel_id. Other backend failures degrade gracefully to {"experts": []}.

Find facts in one channel whose text literally CONTAINS a substring (deterministic, case-insensitive). Call it when you know an exact keyword and want every matching raw fact row, not a ranked or synthesized result. Returns a bare LIST and collapses missing-auth, access-denied, empty-query, and internal errors into an EMPTY LIST — so [] means no match OR no access; it never returns a structured error object.

Disambiguation: find_facts is a deterministic substring filter (predictable, no relevance ranking). For meaning-based / fuzzy retrieval use search_channel_facts (BM25+vector). For a synthesized answer use ask_channel. For decisions with rationale use find_decisions.

When to use: exact-keyword scans ("every fact mentioning 'rollback'"), optionally narrowed by fact_type. When NOT to use: you want semantically related results for a phrase (use search_channel_facts).

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): a LIST (not a dict) of up to limit facts, sorted by importance DESC then recency (message_ts) DESC. The importance values that drive the sort rank, highest first, are 'critical' > 'high' > 'medium' > 'low' (any other/empty value sorts lowest). Each item is {fact_id, memory_text, fact_type, importance, author_name, message_ts, page_slug (empty if not yet on a page)}. No side effects.

Error handling: on missing auth, access denial, empty query, or internal error this tool returns an EMPTY LIST [] (it never raises) — an empty list means no match OR no access; confirm with list_channels if unexpected.

Report how far fact EXTRACTION has progressed for a channel's messages, as a count per status. Call it to judge whether a channel's knowledge is fully ingested before you trust retrieval results, or to track progress after triggering a sync.

Distinguish from get_job_status: this counts MESSAGES by extraction state (corpus readiness); get_job_status reports the lifecycle of one async JOB by job_id. Use this for "is this channel done extracting?"; use get_job_status for "did my trigger_sync/refresh_wiki job finish?".

When to use: gauge corpus completeness, or detect a backlog (high pending) or failures (non-zero failed) before relying on ask_channel/search_channel_facts.

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): {channel_id, counts: {pending, extracting, done, failed}, total} where each count is the number of messages in that state and total is their sum. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id); 'extraction_status_failed' (internal error reading the queue).

Check the progress and result of a background job started by trigger_sync or refresh_wiki. Call this AFTER one of those tools returns a job_id, to learn whether the sync/wiki-generation has finished. This is read-only and instant; it neither starts work nor answers channel questions (use the retrieval tools for that).

WHEN TO USE: poll after trigger_sync/refresh_wiki to wait for completion before reading the freshly ingested/regenerated data. POLLING CADENCE: wait ~2–3s between polls and back off on repeats; do NOT hot-loop. Sync/wiki jobs typically take seconds to a few minutes — stop once status is a terminal value (done / error / cancelled).

PREREQUISITES: a job_id previously returned by trigger_sync or refresh_wiki; the job must belong to the calling principal.

LATENCY & SIDE EFFECTS: instant, no side effects.

RETURNS a dict: {job_id, kind ('sync' | 'wiki'), status, progress, started_at, updated_at, ended_at, result, error, target}. status: 'queued' | 'running' | 'done' | 'error' | 'cancelled'. progress: float 0.0–1.0, or null when not yet available. result/error are populated only once the job reaches a terminal state.

ERROR MODES (returned as {error: ...}): 'authentication_missing'; 'invalid_parameter' (malformed job_id); 'job_not_found' — returned both for ids that do not exist AND for jobs owned by another principal, so no cross-principal job information is disclosed.

Reading the atlas://job/<job_id> resource is an equivalent alternative for clients that prefer resources/read over tool calls.

List the most RECENT facts from one channel, newest first, optionally scoped to a topic. Call it for time-bounded "what happened lately" questions.

When to use: "what's been discussed in this channel this week", "what happened with topic X in the last N days". When NOT to use: search not bounded by recency (use search_channel_facts); a synthesized answer or reasoning across the items (use ask_channel).

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): {activity: [{text, author, timestamp, channel_id, topic_tags, fact_id}, ...]} sorted by timestamp descending. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id). Other internal failures return an empty {activity: []}.

List unresolved TENSIONS in one channel — points of open disagreement or conflicting positions surfaced across its wiki. Call it to find what is still contested or undecided, as opposed to settled decisions (find_decisions).

When to use: surfacing open conflicts, blockers, or competing stances. When NOT to use: settled decisions (find_decisions) or general fact lookup (find_facts).

Prerequisites: a channel_id from list_channels.

Note: tension detection is currently empty for most channels — the wiring is in place but few channels have tension data yet, so an empty result is normal and does not indicate an error. The same call returns real data automatically once tensions exist, with no signature change.

Returns (instant, read-only): a LIST (not a dict) of {tension_id, title, status, since (YYYY-MM-DD), positions: [{author, stance, fact_id}], page_slug}. No side effects.

Error handling: on missing auth, access denial, or internal error this tool returns an EMPTY LIST [] (it never raises) — indistinguishable from "no tensions"; confirm access with list_channels if unexpected.

Return the map of how a channel's WIKI PAGES link to one another, as a node/edge graph. Call it to understand the wiki's structure — which pages reference which — or to plan a traversal across related pages.

Disambiguation: this is the WIKI PAGE-LINK graph (nodes are wiki pages, edges are cross-links between them). For the KNOWLEDGE graph of entities and their relationships (people, systems, concepts), use search_relationships instead.

When to use: visualizing or navigating wiki page structure, or finding clusters of related pages. When NOT to use: reading a page's content (use read_wiki_page) or querying entity relationships (search_relationships).

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): Cytoscape-format {channel_id, nodes: [{data: {id, label, kind, page_kind?, version?, last_updated?}}], edges: [{data: {id, source, target, kind}}]}. Returns empty nodes/edges arrays (not an error) when the graph backend is unavailable, so it is always safe to call. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id).

Fetch one pre-compiled wiki page from the LEGACY fixed-page set (overview, faq, decisions, people, glossary, activity, topics). Call it for a fast, whole-channel summary keyed by a fixed page_type.

Disambiguation: this is the legacy fixed-page surface. For the redesigned slug-keyed wiki — arbitrary topic/entity pages, structured kind payloads, and the cross-link graph — use list_wiki_pages to discover pages then read_wiki_page(slug=...). Prefer those for anything beyond the seven fixed pages above.

When to use: you want a quick structured summary of a known aspect of a channel without running the QA pipeline. When NOT to use: you need a specific answer (use ask_channel) or a non-fixed wiki topic (use read_wiki_page).

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): the page dict {page_type, channel_id, content, summary, text}. content is null when that page has not been generated yet (run a sync / refresh_wiki first). No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id). Other internal failures return the page dict with content: null.

Audit a channel's wiki for health problems and return a list of findings. Call it to check whether wiki pages are stale, orphaned, duplicated, or internally inconsistent before relying on them or recommending a refresh.

When to use: validating wiki quality, or diagnosing why an answer looked wrong. When NOT to use: routine reading (use read_wiki_page / list_wiki_pages) — linting is heavier. Set run_coherence_check=false to avoid the per-page LLM cost when you only need structural checks.

Prerequisites: a channel_id from list_channels.

Returns (long-running when run_coherence_check=true — one LLM call per page; read-only, writes nothing): {findings: [{severity, category, page_id, section_id, message, suggested_action}, ...], pages_scanned: N}.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id); 'lint_failed' (returned as {findings: [], error: 'lint_failed'} on an internal lint error).

List the channels the bot can actually read on one connection — the ground-truth source for what channels exist and their indexing state.

Call this after list_connections/whoami (you need a valid connection_id), once per connection you care about, BEFORE any retrieval tool (ask_channel, search_channel_facts, get_wiki_page, ...) so you can pass a real channel_id. Prefer this over list_connections.selected_channel_count — that count is a sync pick-list, not the channel inventory.

Latency: instant for cached results; may take a few seconds when it queries the live platform bridge. Read-only — does not trigger a sync.

Returns {"channels": [<entry>, ...]} (empty list if none/bridge error). Each entry:

• channel_id (str): pass to retrieval/sync tools, e.g. "C0A955E29MX".

• name (str): display name, e.g. "engineering".

• platform (str): e.g. "slack", "discord", "file".

• last_sync_ts (str|null): ISO timestamp of last index, null if never.

• sync_status (str): "synced", "never_synced", or "n/a" (file connections). "never_synced" is normal and does NOT mean the channel is inaccessible — it just is not indexed yet; call trigger_sync(channel_id) to ingest it before querying its content.

• message_count_estimate (int|null): approx synced messages, null if not yet synced.

Scoping: matches the dashboard "CONNECTED" view. If the user picked specific channels for sync, those are returned; otherwise every channel where the bot is a member (and thus can read) is returned. File connections return every uploaded file.

Error modes: {"error": "connection_access_denied", "connection_id": ...} if you do not own the connection (existence is not leaked); {"error": "invalid_parameter", "parameter": "connection_id"} for a malformed id; {"error": "authentication_missing"} if no principal.

List the platform connections (Slack workspaces, Discord servers, file imports, etc.) this principal owns, with each connection's metadata.

Use this when you need a connection's platform, status, or sync metadata — not just its id. If you only need the connection ids, whoami is cheaper. After picking a connection here, call list_channels(connection_id) to see its actual channels. Results are ownership-filtered: you only see your own.

Latency: instant (read-only; no sync triggered).

Returns {"connections": [<entry>, ...]} (empty list if none). Each entry:

• connection_id (str): e.g. "conn_abc123" — pass to list_channels.

• platform (str): e.g. "slack", "discord", "file".

• display_name (str): human label, e.g. "Acme Workspace".

• status (str): connection health, e.g. "connected".

• last_synced_at (str|null): ISO timestamp of the most recent sync of a PICKED channel; null when the pick-list is empty (see caveat below).

• selected_channel_count (int): size of the sync pick-list (see caveat).

• source (str): how the connection was created, e.g. "oauth".

Caveats (do NOT misread): selected_channel_count is the user's opted-in sync pick-list, NOT how many channels exist. A value of 0 does not mean the connection is empty — a Slack workspace with 0 picks can still have dozens of bot-readable channels. last_synced_at is scoped to the same pick-list, so an empty pick-list yields null even if channels were synced another way. For ground-truth channel availability, always call list_channels(connection_id) — never infer it from these counts.

Error modes: returns {"error": "authentication_missing"} when no valid principal is attached. Never raises access-denied (output is self-scoped).

List the wiki pages in one channel as lightweight summaries (no page bodies). The RECOMMENDED first call when exploring the redesigned slug-keyed wiki: use it to discover slugs, then fetch a page with read_wiki_page(slug=...).

When to use: browsing or discovering which pages exist, or finding a slug. When NOT to use: you already know the slug and want the body (call read_wiki_page directly).

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): {channel_id, target_lang, scope, pages: [{slug, title, kind, version, last_updated, pinned, hidden}, ...]}. The content_md body is intentionally omitted to keep the payload bounded — follow up with read_wiki_page(slug=...) for a page's content. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id); 'wiki_list_failed' (internal error).

Trace ONE fact back to the original chat message it was extracted from. Call it to verify or cite a fact — given a fact_id from another tool, it returns where the fact came from (platform, message, author, timestamp, and the raw message text when reachable).

When to use: confirming a fact's source, building a citation, or auditing provenance. Prerequisites: a fact_id surfaced by find_facts, find_decisions, search_channel_facts, search_memory, or an ask_channel citation.

Returns (instant, read-only): {fact_id, memory_text, source: {platform, message_id, url, author, ts}, raw_message}. raw_message is the original chat body, or an empty string if the source message is no longer reachable — every other field is still populated in that case. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'fact_not_found' (unknown fact_id — also returned, deliberately, when the caller lacks access to the fact's channel, so cross-tenant existence is never leaked); 'provenance_read_failed' (internal error).

Fetch ONE structured module from a wiki page without downloading the whole page. Call it when you already know the page slug and the module anchor you want, and reading the full page via read_wiki_page would waste tokens.

When to use: you need just one module's structured data (e.g. the key_facts items, or a decision_banner's rationale + alternatives). When NOT to use: you need a narrative prose section (use read_wiki_section) or the whole page (use read_wiki_page). To learn a page's module anchors, read it once with read_wiki_page first.

Prerequisites: a channel_id (list_channels), a page_slug (list_wiki_pages), and an anchor (from the page's modules).

Returns (instant, read-only): {channel_id, page_slug, anchor, module_id, data} where data is the module's structured payload. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id); 'wiki_page_not_found' (no such slug); 'module_not_found' (page exists but has no module with that anchor); 'wiki_module_read_failed' (internal error).

Read ONE full wiki page by its slug from the redesigned slug-keyed wiki. Call it after list_wiki_pages tells you which slug you want, to get a page's complete content and structured payload.

Disambiguation: this is the slug-keyed redesign surface (arbitrary topic/entity pages). For the seven LEGACY fixed pages (overview, faq, decisions, ...) use get_wiki_page(page_type). Typical sequence: list_wiki_pages -> read_wiki_page(slug). To save tokens when you need only a slice, use read_wiki_module (one module) or read_wiki_section (one narrative section) instead of the whole page.

Prerequisites: a channel_id from list_channels and a slug from list_wiki_pages.

Returns (instant, read-only): the full WikiPage document including content_md (markdown body), kind + kind_schema (structured payload agents can iterate without re-parsing markdown), cross_links (title->slug), cross_links_broken (linked titles with no page yet), pin_state, and last_updated. Hidden pages are excluded unless the token carries the read:hidden_pages scope. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id); 'wiki_page_not_found' (no such slug, or it is hidden and the token lacks read:hidden_pages); 'wiki_read_failed' (internal error).

Fetch ONE narrative (prose) section of a wiki page without loading the whole page. Call it when you know the page slug and section anchor and want just that article slice, to save tokens.

Disambiguation: read_wiki_section returns PROSE sections (paragraphs + citations); read_wiki_module returns a STRUCTURED module payload (key_facts, decision_banner, etc.); read_wiki_page returns the whole page. Use find_facts for fact-text search across pages.

Prerequisites: a channel_id (list_channels), a page_slug (list_wiki_pages), and an anchor (from the page's narrative sections).

Returns (instant, read-only): {anchor, heading, paragraphs, citations, visual, page_slug, page_title, channel_id} — page_title and channel_id are included so you can attribute the section without a second call. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id); 'page_not_found' (no such slug); 'section_not_found' (page exists but lacks the anchor — the result lists available_anchors to retry with); 'narrative_not_available' (page has no narrative sections — includes has_modules and a suggestion to use read_wiki_page for module data); 'internal_error'.

Re-render a channel's pre-compiled wiki pages (overview, FAQ, decisions, etc.) from facts ALREADY ingested into the knowledge base. Use this to rebuild stale wiki content; the refreshed pages are then read with get_wiki_page / read_wiki_page / list_wiki_pages. It does NOT ingest new messages — that is trigger_sync's job — and it does NOT answer questions (use the retrieval tools for that).

WHEN TO USE: after a sync has added new facts (i.e. after trigger_sync completes), or when the user explicitly asks to regenerate the wiki. WHEN NOT TO USE: do not call routinely — the standard sync pipeline already rebuilds wiki pages automatically, so calling this after a normal sync is usually redundant.

PREREQUISITES: a valid channel_id from list_channels; the channel must have ingested facts (run trigger_sync first if it has none); the calling principal must have access.

LATENCY & SIDE EFFECTS: asynchronous and expensive (runs an LLM generation pass). Returns within ~5s with a job envelope while generation runs in the background; this WRITES/overwrites the channel's wiki pages. Shape: {job_id: 'job_def456', status_uri: 'atlas://job/job_def456', status: 'queued'}. Track progress with get_job_status(job_id) or the atlas://job/<job_id> resource.

ERROR MODES (returned as {error: ...}, never raised): 'authentication_missing'; 'invalid_parameter' (malformed channel_id); 'channel_access_denied'; 'cooldown_active' (refreshed too recently; includes retry_after_seconds); 'service_unavailable' (includes service); 'internal_error'.

Find SPECIFIC facts in ONE channel by hybrid (BM25 + vector) search and return them as raw, ranked rows. Call it when you want the cited source facts themselves, not a composed answer.

When to use: targeted lookup of facts in a known channel ("find facts about the postgres migration"). Faster and more precise than ask_channel for retrieval-only tasks.

When NOT to use: you need a synthesized answer with reasoning (use ask_channel); you don't know which channel holds the facts (use search_memory, which fans this same search across every accessible channel); you want a deterministic substring match rather than ranked relevance (use find_facts).

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): {facts: [{text, author, timestamp, permalink, channel_id, confidence, topic_tags}, ...]}. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id). On any other internal failure it returns an empty {facts: []} rather than erroring.

DEPRECATED — do not call. This is a compatibility shim for the retired 'search_channel_knowledge' tool. Use 'ask_channel' for natural-language questions answered with citations, or 'search_channel_facts' for targeted keyword+vector fact search within one channel. Calling this always returns a structured {"error": "tool_renamed", "replacement": [...]} payload and performs no work (no backend call, exempt from rate limiting).

Find messages that SHARED a file, image, PDF, or link in one channel. Call it when the user is hunting for an attachment or URL ("where's the design doc", "find the screenshot Alice posted") rather than for the knowledge in the text.

When to use: locating shared documents, images, or links. When NOT to use: general fact/knowledge search (use search_channel_facts or ask_channel) — this tool only returns messages that carry media.

Prerequisites: a channel_id from list_channels.

Returns (instant, read-only): {media: [{text, media_urls, link_urls, link_titles, author, timestamp, media_type, fact_id}, ...]}. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'channel_access_denied' (token lacks access to channel_id). Other internal failures return an empty {media: []}.

Find facts ACROSS MANY channels by hybrid (BM25 + vector) search when you do NOT know which channel holds the answer. Call it first for broad recall, then drill into a specific channel with the tools below.

Routing rule for the three search tools:

• search_memory(scope='all') — unknown channel; fans the search across every channel the principal can access and merges/ranks the hits.

• search_channel_facts(channel_id) — known channel; same hybrid search, scoped to one channel, returning the richer per-fact shape.

• search_memory(scope='channel:') — single channel with the search_memory hit shape (use search_channel_facts instead if you want author/permalink/topic_tags on each row). For a synthesized ANSWER rather than rows, use ask_channel.

Prerequisites: none for scope='all'; a channel_id (from list_channels) for scope='channel:'.

Returns (instant for one channel, longer when fanning across many; read-only): {hits: [{fact_id, text, score, channel_id, cluster_id, entity_tags}, ...], query: <echo of query>} ranked by hybrid score. No side effects.

Error modes (returned as dicts): 'authentication_missing' (no principal); 'invalid_parameter' (empty/over-4000-char query, or scope not 'all'/ 'channel:'); 'channel_access_denied' (only for an explicit 'channel:' the token cannot reach — under scope='all' unreachable channels are silently skipped).

Find how named ENTITIES connect in a channel's knowledge graph.

Call this to answer "how is X related to Y?" or "what touches the billing service?" by returning the subgraph of nodes and edges around the given entities. This explores the KNOWLEDGE graph of entities/relationships — distinct from get_wiki_graph, which returns the wiki PAGE-LINK graph (which wiki pages reference which). Use find_experts to rank people and trace_decision_history to follow decision supersession.

Prerequisite: a channel_id from list_channels and at least one entity name. Names should match how the channel refers to the entity; unknown names simply yield an empty subgraph.

Returns (instant for small hop counts, read-only, no side effects): {"nodes": [...], "edges": [...], "text": str, "entities_searched": [...]}. Each node has name and type (e.g. 'person', 'system', 'concept'); each edge has source, target, type (relationship label), confidence (0–1, extraction confidence), and context (snippet explaining the edge). text is a human-readable summary. Empty nodes/ edges means no connections were found — not an error.

Error modes: {"error": "authentication_missing"} if unauthenticated; {"error": "channel_access_denied", "channel_id": ...} if the channel is not readable; {"error": "invalid_parameter", ...} for a malformed channel_id. Other backend failures degrade to {"nodes": [], "edges": [], "channel_id": ...}.

Mint a fresh conversation session id that starts a new ask_channel thread.

Call this to begin a clean conversation that carries no memory of prior ask_channel turns — e.g. when the user switches to an unrelated topic or explicitly asks to "start over" / "forget previous context". Pass the returned id as the session_id argument on subsequent ask_channel calls so they share one continuous thread; reuse the same id for follow-ups, and mint a new one only when you want a clean break.

When NOT to use: do not call this before every question. ask_channel auto-creates a session when session_id is omitted, so a new session id is only needed to intentionally drop earlier conversation context.

Prerequisites: none. Requires an authenticated MCP principal (the caller's connection token); no channel_id or other input is needed.

Returns: a dict {"session_id": "mcp:<principal>:<short>"} where the value is a fresh opaque conversation handle scoped to the caller, e.g. {"session_id": "mcp:conn_abc123:9f3c1a2b"}. On a missing or invalid principal it returns {"error": "authentication_missing"} instead.

Side effects: none — this allocates a new conversation boundary marker and does not delete, persist, or mutate any stored data. Latency: instant (no network or LLM call); safe to call synchronously inline.

Reconstruct how a decision EVOLVED over time in a channel.

Call this to answer "how did the team arrive at the current approach for X?" or "what earlier choices were overridden?" It walks SUPERSEDES edges in the knowledge graph to build an ordered timeline of superseded → current decisions. Distinct from find_decisions (which lists current decision facts with no history) and search_channel_facts (current state only, no chronology); use this tool specifically when you need the chronological "why we changed" trail.

Prerequisite: a channel_id from list_channels. Best results on mature channels where decisions have been revised; new channels often have no supersession chain yet (empty result, not an error).

Returns (instant, read-only, no side effects): {"decisions": [...]} ordered oldest → newest. Each item has entity (the decision that was made), superseded_by (the decision that replaced it, or empty for the current one), relationship (edge label, typically 'SUPERSEDES'), confidence (0–1 extraction confidence), context (snippet explaining the change), and position (0-based index in the timeline). An empty list means no recorded supersession chain.

Error modes: {"error": "authentication_missing"} if unauthenticated; {"error": "channel_access_denied", "channel_id": ...} if the channel is not readable; {"error": "invalid_parameter", ...} for a malformed channel_id. Other backend failures degrade to {"decisions": []}.

Ingest a chat channel's messages into the Atlas knowledge base so they become searchable by the retrieval tools (ask_channel, search_channel_facts, search_memory). This is the WRITE/ingestion entry point; it does NOT answer questions — use the retrieval tools for that. It is distinct from refresh_wiki, which only re-renders wiki pages from already-ingested facts.

WHEN TO USE: only when the user EXPLICITLY asks to sync/refresh a channel, OR when retrieval tools return empty/stale results AND the channel was last synced over 24h ago. WHEN NOT TO USE: do not call before every question or as a precautionary warm-up — prefer the data already indexed. Sync is expensive and rate-limited (cooldown) per channel.

PREREQUISITES: get a valid channel_id (and ideally connection_id) from list_channels first. The calling principal must have access to the channel.

LATENCY & SIDE EFFECTS: asynchronous. Returns within ~5s with a job envelope while ingestion runs in the background; this WRITES facts to the knowledge base. Shape: {job_id: 'job_abc123', status_uri: 'atlas://job/job_abc123', status: 'queued'}. Track progress by calling get_job_status(job_id) or reading the atlas://job/<job_id> resource.

IDEMPOTENT: if a queued or running sync already exists for the channel, its existing job_id is returned instead of starting a duplicate. A new job is created only when no active job exists, or after the prior one completed or failed.

ERROR MODES (returned as {error: ...}, never raised): 'authentication_missing' (no principal); 'invalid_parameter' (malformed channel_id/connection_id); 'channel_access_denied' (principal lacks access); 'cooldown_active' (synced too recently; includes retry_after_seconds); 'service_unavailable' (backing service down; includes service); 'internal_error' (unexpected failure).

Confirm who you are authenticated as and which connection ids you can reach.

Call this FIRST in any session, before any other tool, to (1) verify your auth token resolved to a principal and (2) get the connection ids needed by list_channels. Returns only connection IDS here; use list_connections when you also need each connection's platform, status, and sync metadata.

When to use: once at session start. Do NOT call repeatedly — the response is stable for the whole session.

Latency: instant (single in-memory/DB lookup; never triggers a sync or job).

Returns a dict:

• principal_id (str): your authenticated identity, e.g. "user_42".

• connections (list[str]): connection ids you may access, e.g. ["conn_abc123", "conn_def456"]. Empty list if you own no connections.

• server_version (str): deployed Atlas version, e.g. "0.1.0".

Error modes: returns {"error": "authentication_missing"} when the request carries no valid principal (token absent/invalid). No access-denied path — the response is always scoped to the caller.