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308,076 tools. Last updated 2026-07-18 10:47

"author:sahmk-sa" matching MCP tools:

  • Fetch the full descendants payload — etymology, glosses and the reflex tree (Sarmatian→Alanic→Ossetian, Saka→Khotanese) — for a lemma identified by a search result's descendant handle (entry_id + word_class). Use this only when a search ran without inline payloads or left a match un-expanded — a default search already returns each match's payload inline. Returns Markdown plus the payload as structuredContent with the shape {"result": <payload>} per the declared outputSchema — switch on result.category ('descendants' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
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  • Look an Old Norse word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content (including the verbs' mediopassive voice), not invented. Any form of the word works; an inflected query is resolved to its lemma automatically via previously cached paradigms and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Old Norse equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).
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  • Look a word up in the real Livonian–Estonian–Latvian dictionary and return only attested content, so translations are grounded, not invented. Search a meaning (in English/Latvian/Estonian) to find the Livonian headword, or a Livonian word to confirm it exists and read its sense, part of speech and examples. See the `query` and `search_language` parameter docs for how to phrase a query. By default each match's full inflection table is returned inline, so one call usually suffices; on a broad query only the first N tables expand (the rest are listed as handles to fetch with livonian_get_inflections). Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side, so repeating a query is instant and free; a first-time query reaches the live dictionary and calls are rate limited — on a rate-limit error, wait a few seconds and retry instead of re-issuing immediately. Dictionary content is from livonian.tech (CC BY-SA 4.0 — attribute if republished).
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  • Récupère une décision administrative par son **numéro de requête exact**. Couvre toutes les juridictions : Conseil d'État, cours administratives d'appel (CAA), tribunaux administratifs (TA). Utilise un lookup SQL exact sur le champ `numero` — pas de FTS5, pas de faux positifs. ⚠️ **Désambiguïsation indispensable** : un même numéro à 7 chiffres (ex: 2200433) est partagé par 24+ tribunaux administratifs différents (chaque TA a sa propre série annuelle qui repart à 1). Sans `juridiction`, tu obtiens un homonyme au hasard parmi 24 — souvent pas le bon. **Si tu sais quelle juridiction a rendu la décision, passe-la TOUJOURS.** Args: numero: numéro de requête (ex : "2200433", "2116343", "497566") juridiction: identifiant de la juridiction. **Recommandé pour tout numéro à 7 chiffres** (TA/CAA codifié). Formats acceptés : - **Nom long (recommandé)** : "Cour administrative d'appel de Lyon", "Tribunal administratif de Paris", "Conseil d'État" (avec ou sans accent, casse libre). Matching tolérant via extraction de ville. - **Code court** : "TA69", "TA75", "CAA69", "CE", "CE-CAA". ⚠️ Les codes courts peuvent rater les arrêts anciens (id CETATEXT* historiques) pour lesquels le mapping interne échoue. Si tu sais le nom long, préfère-le. Note : "Lyon" seul est ambigu (TA Lyon ou CAA Lyon) — préférer le nom complet pour éviter la collision. Returns: Décision avec métadonnées (id, juridiction, numero, date, titre), ou `{"error": "introuvable"}` si aucun résultat dans JADE. Exemples : get_admin_decision("2200433", juridiction="Tribunal Administratif de Lyon") → DTA_2200433_20230214 (TA Lyon, 14 fév 2023, RSA dérogatoire) get_admin_decision("473286") # CE n'a pas de doublon, juridiction inutile → DCE_473286_20231123 (CE, non-admission du pourvoi sur la précédente)
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  • Cursor-paginated browse over the catalog. Quality-first: by default excludes questions flagged for review (use quality='all' for full pool). USE WHEN: full catalog sync, delta sync (updated_since), exhaustive enumeration by filter. NOT WHEN: you only need N random samples (use quizbase_random) or a single record (use quizbase_question_by_id). PAGINATION: stable cursor over id UUIDv7 DESC. First call: omit cursor. Next: pass meta.nextCursor. Stop when nextCursor is null. KEY FILTERS (full parity with REST): - lang: ISO 639-1, default "en". Supported: en, pl. - category (slug), difficulty (trivial|easy|medium|hard|expert — LLM-calibrated), type (multiple|boolean), subcategory (raw slug). - tags (AND), tags_any (OR, max 10): raw tag slugs. - topic (curated, alias resolver), topics_any (OR over curated): higher precision than tags. - regions (cultural affinity, AND): empty = no cultural advantage assumed. Lowercase ISO 3166-1 alpha-2 ('us', 'pl', 'gb') + cultural codes ('jewish', 'christian-catholic', 'islam'). Filter for content statistically more likely known by residents/members. Discover via quizbase_regions. - source (array): include only these of 12 (opentdb, opentriviaqa, kqa-pro, entityq, mintaka, mkqa, nq-open, creak, qasc, arc, webq, quizbase). - exclude_source (array): drop these sources, e.g. ["entityq"]. Applied after source. - license (SPDX): e.g. CC-BY-SA-4.0, MIT. - quality: 'high' (default) = cleanest, most broadly-useful. 'standard' = broader pool incl. niche/too-specific. 'all' = full pool incl. flagged; when 'all', each question gains a "quality" field ('high' or 'needs_review'). - updated_since (ISO 8601): only questions updated after this — for delta sync caches. BATCH + TRANSLATION MAPPING: - ids (up to 250): fetch those exact records in one call (anti-repeat, deep-links, restoring a saved set). Terminal selector — browse filters and cursor are ignored. Missing ids → meta.missing. - content_language (en|pl): with ids, returns each question's sibling in that CONTENT language across the translation chain — the same questions in another language. Distinct from lang (labels only). PAGINATION + COUNTING: - cursor (string): from previous meta.nextCursor. Omit for page 1. - limit (1-100, default 20). - count: none (default, skip — page via nextCursor) | exact (precise COUNT(*), index-only ~25-90ms). OUTPUT: { questions: [...], meta: { count, countMode, language, nextCursor, total? } }. Each question carries full per-record attribution (source, author, license, licenseVersion, licenseUrl, sourceId, url, modifications, lastModified) — identical shape to REST /api/v1/questions. ATTRIBUTION REQUIRED if you redistribute. Credit each question using its own attribution object — see license + licenseUrl + modifications fields per record. COMMON MISTAKES: not passing the cursor on subsequent calls (you'll re-read page 1); polling without updated_since when doing delta sync.
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  • Étude d'implantation labo en 1 appel (V0.23). Géocode l'adresse cible puis agrège EN PARALLÈLE 7 sections : `territoire` (densités PS commune vs national + établissements), `demande` (profil démographique du BASSIN — rayon — via profil_iris : âge, CSP, revenu pondéré), `concurrents` (labos FINESS), `pourvoyeurs` (MCO/EHPAD/SSR/dialyse — drivers écosystémiques), `prescripteurs` (médecins RPPS + IDEL Ameli), `cds` (centres de santé), `referentiels` (qualité couverture FINESS↔SIRENE). Remplace ~15 appels MCP individuels par 1. Renvoie des RÉSUMÉS (count / top-N / moyenne), JAMAIS de listes brutes. AUCUNE interprétation métier (pas de 'désert médical' ni de verdict GO/NO-GO) — le caller LLM applique sa grille. DÉGRADATION (lis `couverture` — 1 drapeau par section) : `"ok"` | `"partiel:<raison>"` | `"indisponible:<raison>"`. Si une source est down, SA section est flaggée et le RESTE est renvoyé — comble alors le trou via l'outil unitaire correspondant (etablissements_finess_in_radius, professionnels_rpps_in_radius, densite_sante, centres_sante_in_radius…). Échec d'ANCRAGE (géocodage KO / adresse douteuse / code INSEE indérivable) = rejet total (RangeError). Pièges internalisés : Paris/Lyon/Marseille basculés sur le département (`meta.plm_mode=true`) ; `prescripteurs` expose `precis_count` (PS géolocalisés à l'adresse, pas au centroïde commune) ; `cds` sans distance individuelle (centroïde commune). WORKFLOW : appelle CET outil pour DÉMARRER une étude, puis creuse les sections `partiel`/`indisponible` via les unitaires, puis `enrichir_concurrents` sur le top 3 de `concurrents.top`. Sources : IGN (géocodage), FINESS DREES, RPPS/ANS, Ameli/CNAM, INSEE/FILOSOFI, SIRENE/DINUM.
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  • Reverse SSI lookup — find banks that use a given correspondent for a currency. Given a correspondent BIC, currency, and origin country, returns the banks in that country that have a declared nostro at the correspondent for that currency. Inverse of ssi_lookup. Returns only swift + name per bank — to retrieve the account number, intermediary chain, or other SSI details for a specific bank from the result list, call ssi_lookup(bank_swift, currency) on it. Country and currency are required (not optional) — both bound the result set and the query is rejected without them. Requires an API key with an active PRO, VIP, or FI subscription. Tight per-account daily caps apply (5/day on PRO, 10/day on VIP/FI/trial). Args: correspondent_swift: BIC of the correspondent bank (e.g. "IRVTUS3N"). currency: ISO 4217 (e.g. "USD"). country: ISO 3166-1 alpha-2 of the client banks (e.g. "AE"). name_prefix: Optional prefix on bank name (e.g. "AL"). page: 1–4. Defaults to 1. api_key: Your Ohmyfin API key (prod-...). Can also be passed via KEY header or Authorization: Bearer header. Examples: banks_using_correspondent("IRVTUS3N", "USD", "AE") banks_using_correspondent("CITIUS33", "USD", "SA", name_prefix="AL")
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  • Look a word up in the real Livonian–Estonian–Latvian dictionary and return only attested content, so translations are grounded, not invented. Search a meaning (in English/Latvian/Estonian) to find the Livonian headword, or a Livonian word to confirm it exists and read its sense, part of speech and examples. See the `query` and `search_language` parameter docs for how to phrase a query. By default each match's full inflection table is returned inline, so one call usually suffices; on a broad query only the first N tables expand (the rest are listed as handles to fetch with livonian_get_inflections). Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side, so repeating a query is instant and free; a first-time query reaches the live dictionary and calls are rate limited — on a rate-limit error, wait a few seconds and retry instead of re-issuing immediately. Dictionary content is from livonian.tech (CC BY-SA 4.0 — attribute if republished).
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  • Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
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  • Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
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  • Look an Old Norse word up on Wiktionary and return its senses plus full declension/conjugation tables — attested content (including the verbs' mediopassive voice), not invented. Any form of the word works; an inflected query is resolved to its lemma automatically via previously cached paradigms and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists its per-sense Old Norse equivalents (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).
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  • Fetch the full declension (nominals) or conjugation (verbs — active AND mediopassive) tables for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
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  • Fetch the full declension (nominals) or conjugation (verbs — active AND mediopassive) tables for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
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  • Look a Proto-Scythian lemma up on Wiktionary and return its senses plus its full descendants payload — the reconstructed etymology and the reflex tree down to Ossetian and Khotanese, attested scholarship, not invention. Plain ASCII spellings are folded to the reconstruction's diacritics and the result notes the resolution. With search_language='eng' the query is an English word instead: the result lists the lemmas whose glosses match it (the translations block) plus their expanded entries. Returns Markdown plus the same result as structuredContent matching the declared outputSchema. Results are cached server-side; first-time queries reach the live upstream politely and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Content is from en.wiktionary.org (CC BY-SA 4.0 — attribute and share alike if republished).
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  • Fetch the full declension (nouns) or conjugation (verbs) table for a word identified by a search result's inflection handle (entry_id + word_class) — the exact case, number, tense, not a guessed ending. Use this only when a search ran without inline forms, or to fetch a match a broad search left un-expanded. Never a first call — the handle values only come from livonian_search results, and a default search already returns each match's table inline, so calling this afterwards just re-fetches what you have. Returns Markdown — a nominal gets one case × {singular, plural} table; a verb gets a table per mood/tense (person × {affirmative, negative}, the negation auxiliary folded into the negative) plus its principal-parts and participle lists — or a clean not-found message. (Grammatical labels are normalised to English; Livonian forms stay verbatim.) The same table rides along as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Results are cached server-side (repeats are instant) and calls are rate limited — on a rate-limit error, wait a few seconds and retry. Table content is from livonian.tech (CC BY-SA 4.0 — attribute if republished).
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  • Fetch the full declension (nominals) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
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  • Fetch the full declension (nominals) or conjugation (verbs — positive AND negative) tables for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
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  • Fetch the full declension (nominals, including the pronouns' dual) or conjugation (verbs) table for a lemma identified by a search result's inflection handle (entry_id + word_class). Use this only when a search ran without inline forms or left a match un-expanded — a default search already returns each match's table inline. Returns Markdown plus the table as structuredContent with the shape {"result": <paradigm>} per the declared outputSchema — switch on result.category ('nominal' | 'verbal' | 'not_found') before reading the body. Content from en.wiktionary.org (CC BY-SA 4.0).
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  • POST /tools/sa-airport-oracle/run — Returns live flight status from ACSA (airports.co.za). Input: {airport_code: 'JNB'|'CPT'|'DUR', flight_number: string, request_type: 'arrival'|'departure'}. Output: {success, live_status, scheduled_time, estimated_time, actual_time, gate, carousel, terminal, flight_number, airport_code, request_type, error}. Coverage: JNB (O.R. Tambo), CPT (Cape Town Int'l), DUR (King Shaka). Data window: flights within 48 hours. Call GET /tools/sa-airport-oracle/health (free) first — if structure_valid=false, do not proceed. error_type values: 'stale_data' (do not retry), 'not found' (retry after 10-15 min), network error (retry once). flight_number is case-insensitive and normalised to uppercase internally. Read-only — no booking/ticketing. Cost: $0.1200 USDC per call.
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  • Récupère le détail d'un établissement par son SIRET (14 chiffres) via l'API SIRENE INSEE V3.11 : raison sociale de l'unité légale, enseigne commerciale, NAF de l'établissement, dates de création/fermeture, statut administratif actif/fermé, adresse complète, tranche d'effectif. Source : SIRENE INSEE V3.11 (api.insee.fr). **Format de retour** : objet `LookupResult` discriminé par `found`. - `found: true` → établissement à plat (`siret`, `siren`, `actif`, `dateFermeture`, `enseigne`, `adresse`, …) - `found: false` → `{ found: false, key, lookupStatus: 'not_found', message }`. Cas typiques : clé `INSEE_SIRENE_API_KEY` non configurée côté serveur (message explicite), SIRET inexistant SIRENE, diffusion partielle INSEE. ⚠️ Différence avec `entreprise_by_siren` : ce tool renvoie UN établissement précis (un site), alors que `entreprise_by_siren` renvoie l'unité légale + sa liste d'établissements. Pour détecter un SIRET fermé encore listé actif côté FINESS, lire `actif: false` + `dateFermeture`. **Pas de coords** : l'endpoint INSEE `/siret/<siret>` ne renvoie pas les coordonnées GPS. Pour géolocaliser, croiser avec `geocode_adresse` côté caller ou utiliser `entreprises_in_radius`. Rate limit INSEE : 30 req/min (retry-after géré côté serveur).
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