How is my trip?

Assess one trip: current disruption status for its destinations and dates. Use this tool when the user asks whether a specific trip is affected by strikes, weather, transport disruptions or other travel risks. Give the destinations and the travel window (date_from/date_to, YYYY-MM-DD). Destinations are the EU-27 ISO2 codes (Greece = "EL") PLUS the non-EU27 countries we actively monitor: Norway ("NO", rail via Entur, live), the United Kingdom ("UK" or "GB", transit via TfL, live), and Switzerland ("CH", rail via SBB — key-pending, so it is reported as a declared blind spot until the feed is keyed, never a false all-clear). A code we do not monitor is rejected with {"error": "unknown_country"} rather than silently all-cleared. Returns a Decision-Support answer, not raw data: * travel_status: NORMAL | MINOR_DISRUPTION | MAJOR_DISRUPTION; * actionable_lines: per-event DECISION-IMPACT guidance — what the disruption means for THIS trip and what to do (e.g. "affects regional trains, not airports -> take a road airport transfer, leave ~30 min earlier"), or a clearly-labelled "nothing material" line when calm; * confidence: a LABELLED model output (coverage/corroboration/recency/ blind-spots blend, not a probability) — read its caveats; * sources_checked: proof of what was monitored (sources_ok, blind spots); * events + caveats. Sub-floor noise (a deep, far-field seismic blip) is omitted; calm is a monitoring result for the window, never an invented forecast. Invalid inputs return an explicit {"error": ...}; nothing is fabricated. Top-level MCP-facing structure (additive; existing fields preserved): * presentation: a three-section block — affects_your_trip[] (each item with verified_sources[] as display-ready names, source_count, corroborated flag (≥2 distinct sources), an honest for_you line bound to destinations+dates only, report_url, first_detected_at, last_verified_at); doesnt_affect_your_trip (the proof-of-work pile — shown[] of {headline, reason_excluded}, additional_checked_count, summary_line, total_checked); next_steps[] (deterministic — re-check date, aviation-handoff watch when blind spot, per-active monitor URLs); * track_record_ref: lean {window_days, flagged, ended, still_active, monitoring_since, url} — numbers + URL only, no narrative; * suggested_next_call: {tool, context} — the suggested follow-up (watch_trip) when the user wants continued monitoring. These exist so an LLM consumer can quote verbatim — every fact is traceable to a named source or an input field, never invented. Destinations also accept natural input: country names ('Spain', 'España', 'Spania'), IATA airport or city codes ('ALC', 'TSR', 'LON'), city names in any common spelling ('Alicante'/'Alacant', 'București'/'Bucharest', 'München'/'Munich') and major rail stations ('Alicante Terminal', 'Gare de Lyon'), resolved deterministically from local datasets (exact match after Unicode folding — never fuzzy). The response discloses every mapping in 'resolved_locations' ([{input, canonical_name, country, lat, lon, type, source, confidence}]); the legacy 'resolved' list is kept. A token that cannot be placed is returned in 'unresolved_locations' with suggestions; if at least one other token resolved, the verdict is still computed on the resolved countries and marked 'degraded' (reason + missing tokens, plus a caveat) — never a silent downgrade. When nothing resolves the call is rejected with {'error': 'unknown_destination', 'unresolved_locations': [...]}; a token in a country we do not monitor is rejected with {'error': 'unknown_country'}. Regional scope (weather): when the source publishes warning AREAS (Meteoalarm areaDesc + EMMA_ID), each cited event carries region_scope {level: region | no-match | country, matched[], places_checked, method} — a NAME match between the areas and your resolved places / their region and province (no geometry: Meteoalarm publishes no polygons). The country-level travel_status is unchanged; travel_status_regional is the status without the events whose areas name none of your places, and a caveat says so. Weather events without area detail say "country level". Optional `legs`: the trip as segments with a travel MODE — [{"from": "OTP", "to": "Valencia", "mode": "air", "date_from": "...", "date_to": "..."}, {"from": "Valencia", "to": "Alicante", "mode": "rail"}] (mode: air | rail | road | sea; leg dates optional, default = the trip window, must sit inside it). Endpoints are resolved like destinations and are ADDED to them, so you may pass destinations: [] with legs only. The answer then carries legs[]: per leg the resolved endpoints, countries, domains_applicable for its mode (rail sources apply to rail legs, aviation to air legs; weather/disaster/health/geopolitical/public order to all), the events that hit THAT leg (a weather event whose areas name neither endpoint is listed apart in events_not_in_your_regions), its own travel_status, its own blind_spots and — for air legs — the aviation_handoff. An unresolved endpoint is an explicit {"error": "unresolved_leg_endpoint"} with suggestions. Pass `lang` (e.g. "de", "ro", "pl", "fr", "es", "it"; default English) to answer in the traveller's language — useful for a traveller in a country whose language they do not speak. The response then carries a `localized` block with the status sentence, an honest reassurance line (calm ONLY when status is NORMAL), the decision-impact lines, AND — never dropped — the localized caveats + blind_spots. Source-derived free text the traveller cannot read (an event headline in the source language) is AI-translated via Gemini and carries the label "AI-translated — verify against the linked official source"; when no GEMINI_API_KEY is set or a translation fails, the original source text is kept with an honest note — never a fake translation. Our own wording falls back to English (flagged in `localized.fallback_lang_parts`) when no template exists for `lang`; an unknown `lang` answers in English and says so (`is_known_lang=false`). Localization NEVER becomes a false all-clear and the aviation handoff is a SIGNPOST that DISCLOSES the blind spot, not coverage. Pass `audience` for role-specific operational actions (B2B travel-risk / duty-of-care): one of "tmc" (travel management company / corporate travel risk), "hotel", "ota", "tour_operator". The response then carries a `persona` block: {audience, actions[]} where each action ties an affecting event to that role's recommended steps (e.g. TMC: flexible-rebooking policy, reroute inventory, proactive guest comms) — a PURE PROJECTION of the audience-tagged recommendations already computed per event, each carrying a `based_on` disclosure of the inputs it used. An unknown audience is reported honestly with the valid set, never guessed. Omit `audience` for the default (no persona block).

Get today's published daily briefing, pre-formatted for end users. Use this tool for a general "what is happening today in EU travel" question that is not tied to one specific trip. Returns the same payload as the underlying daily briefing artifact: headline counts, one plain-language headline per active event, monitoring coverage (sources_ok / blind_spots_count), backtest trust figures, and a caveats list. Always relay caveats alongside numbers. Optional ``country`` (EU-27 ISO2 alpha-2, Greece = "EL") narrows the events list only — headline_counts / monitoring / trust stay EU-27-wide, as flagged in the returned note. Missing artifact returns ``{"error": "unavailable"}``.

Tourism profile for one EU-27 country — a decade of Eurostat data. Use this tool for questions about a country's tourism statistics, seasonality or visitor mix, not for live disruptions. Pure projection of the published artifacts (countries/<code>.json + competitiveness.json): yearly nights/arrivals totals with YoY, average stay, seasonality (peak month and peak-to-mean ratio, formula disclosed), domestic vs foreign visitor share, recovery vs 2019, growth vs the EU average, and computed competitiveness insights (each labeled with its basis). Every number is computed from the same public dataset the site serves — nothing narrated, nothing estimated; links carry the citable page + raw JSON. `code` is EU-27 ISO2 (Greece = "EL"). Unknown country -> {"error": "unknown_country"}; missing artifact -> {"error": "unavailable"}.

Explain why a watched trip has produced no updates. Use this tool when the user asks why they have not heard anything about a watched trip. Returns {recheck_count, last_checked} (proof the trip was actively monitored), {suppressed:[{what, domain, country, score, floor, reason}]} (what we saw for your destinations and dropped below the disclosed relevance floor — e.g. a deep quake at modelled felt-intensity 3.39 < floor 4.0), {confidence_during_window} (same recency input as assess_trip), and {blind_spots:[{domain, country, note}]} — domains/countries we do NOT monitor live, so silence there is NOT a guarantee (e.g. aviation-IT blind spot => silence does not cover flights). Also {coverage_classes:[{class, domain, label, monitored_in, not_monitored_in, via, statement}]} — per KIND of disruption (on-track incidents and local rail operations, individual flight delays, local road closures, country-level weather warnings…) where it is observable to us and where NO configured source watches it, so "your train was stopped by an incident only a local blog reported" is explainable — plus {sources_consulted, sources_pending} per destination. `since` optionally scopes the recheck window. Id is regex-validated; unknown -> {"error": "not_found"}, malformed -> {"error": "invalid_trip_id"}.

The watched-trip updates log filtered to entries AFTER `since`. The notification payload: everything logged for the trip strictly after the `since` ISO-8601 timestamp (the user's last-seen time), oldest-first. Returns {trip_id, since, new_update_count, updates}. Use this tool to fetch the stored update entries the user has not seen yet; for a live recomputed diff, use whats_changed instead. An empty `since` returns the whole log. Id is regex-validated (^trip-[a-z0-9-]+$); unknown id -> {"error": "not_found"}, malformed id -> {"error": "invalid_trip_id"}.

List detected travel-disruption events for EU-27 tourism. Use this tool to browse or filter current disruption events across countries; for a question about one specific trip, use assess_trip. Events are deterministic, rule-based detections over published live snapshots and monthly indicators — thresholds are disclosed in each event record; nothing is model-generated here. Filters: status (e.g. "active"/"resolved"), country (EU-27 ISO2, Greece = "EL"), domain (e.g. "weather", "aviation"), min_severity on the ordered scale info < watch < warning < severe. Returns {count, events, filters}; on missing index returns {"error": "unavailable"}.

Start monitoring one trip for disruption changes over time. Use this tool when the user wants ongoing monitoring of a trip rather than a one-off assessment (for a one-off answer, use assess_trip). Persists the trip as a monitored object and returns its initial assessment plus a random, unguessable trip_id AND a one-time `owner.owner_token`. Store BOTH: the trip_id is the (public, shareable) URL handle, the owner_token is the private key needed to change or stop the trip later. CREATE vs REFRESH: called with just destinations+dates it CREATES a new trip every time (it does NOT dedupe on identity — that is deliberate, so nobody can reach your trip by guessing your itinerary). To update an existing trip (change its label or webhook), call again passing BOTH its `trip_id` and `owner_token`; a missing/wrong token is rejected. Each pipeline run then re-evaluates the trip and appends an update ONLY when something materially changes (a new/cleared event, a severity/status shift, or a travel_status change) — never on a calm tick. Args: destinations — EU-27 ISO2 codes (Greece = "EL") plus the non-EU27 countries we monitor: Norway "NO" (Entur, live), United Kingdom "UK"/"GB" (TfL, live), Switzerland "CH" (SBB, key-pending → declared blind spot until keyed); date_from/date_to (YYYY-MM-DD); optional label. An unmonitored code is rejected with {"error": "unknown_country"} rather than a false all-clear. Returns {trip_id, assessment, created_at}; invalid inputs return an explicit {"error": ...}. Destinations also accept natural input: IATA airport codes (e.g. 'TSR', 'AMS', 'ZRH') and major city names (e.g. 'Timișoara', 'Amsterdam', 'Zürich', 'London'), resolved deterministically to a monitored country code. The initial assessment includes a 'resolved' list ([{input, country, kind}]) disclosing how each token was mapped (e.g. 'TSR -> RO via iata-airport'). A token that resolves to a country we do not monitor is rejected with {'error': 'unknown_country'}; a token we cannot resolve at all is rejected with {'error': 'unknown_destination', 'tokens': [...]} — we reject not guess. Pass `lang` (e.g. "de", "ro", "pl"; default English) to localise the initial assessment into the traveller's language: the returned assessment carries the same `localized` block as assess_trip (honest reassurance, AI-translated-and-LABELLED source text, and the localized caveats + blind_spots that are never dropped). Localization never becomes a false all-clear; the aviation handoff discloses the blind spot, not coverage. Pass `audience` ("tmc" | "hotel" | "ota" | "tour_operator") for role-specific operational actions — the initial assessment then carries the same `persona` block as assess_trip (audience + per-event role actions, projected from the audience-tagged recommendations). Built for the B2B travel-risk buyer. Pass `notify_webhook_url` (https only) to get PUSH delivery: on every MATERIAL change the radar POSTs the update record (summary, status transition, event report URLs) to your URL, signed HMAC-SHA256 over the raw body (header X-TravelTrends-Signature: sha256=<hex>). The response then includes `notify.secret` — shown ONLY once, never published; store it to verify signatures. To change or remove the webhook later, re-call with the trip_id + owner_token and the new notify_webhook_url (or "" to remove delivery). After 5 consecutive delivery failures the webhook is disabled with an honest notify_disabled entry in the trip's updates log. Non-https or private-network URLs are rejected with {"error": "invalid_webhook_url"}. Optional `legs` (same shape and semantics as in assess_trip) are persisted with the trip and re-evaluated on every check; legs[] appears in the assessment returned here and in later whats_changed assessments.

Report only what changed for a watched trip since a checkpoint. Use this tool when the user asks for news on a trip already registered with watch_trip; for the stored notification log rather than a live diff, use get_trip_updates_since. Recomputes the trip's current assessment and diffs it against the checkpoint at/just- before `since` (or the last evaluation when `since` is omitted). Returns {material, summary, added_events, removed_events, changed_events, previous_travel_status, travel_status, confidence_from, confidence_to}. `summary` is a plain-language line ('Since your last check: rail strike CONFIRMED (was: announced); a road closure cleared; confidence 63->71%'). A non-material tick returns material=False with a clearly-flagged 'No material change' summary — never invented churn. `since` is an optional ISO-8601 timestamp (e.g. the user's last-seen time). Id is regex-validated (^trip-[a-z0-9-]+$); unknown id -> {"error": "not_found"}, malformed id -> {"error": "invalid_trip_id"}. The response also forwards the presentation blocks from the current assessment so the LLM consumer has full context alongside the delta: presentation (affects_your_trip / doesnt_affect_your_trip / next_steps), track_record_ref (90-day counts + URL), and suggested_next_call (the suggested follow-up action). Forwarded in both material=True and material=False branches; absent if upstream did not compute them (legacy code paths) — never fabricated. `audience` (optional: tmc | hotel | ota | tour_operator) attaches the same `persona` block as assess_trip/watch_trip to the change alert — audience-tagged actions for the events currently affecting the trip, so the alert itself carries the operational next step. Unknown audience -> honest error listing valid_audiences.