get_cluster_suppliers

ai.meacheal/mrc-data · Verify this server

List all suppliers in a specific industrial cluster. USE WHEN user asks: - "what factories are in Humen cluster" - "show me suppliers in Keqiao fabric market" - "list all womenswear factories in [cluster]" - "top-quality suppliers in [cluster]" - "factory directory for [cluster]" - "page through suppliers in Shengze silk cluster" (pagination) - "follow-up after search_clusters: 'show me the factories there'" - "虎门产业带有哪些供应商 / [产业带] 的工厂列表" - "[集群] 里最好的几家工厂" PREREQUISITE: You MUST have a valid cluster_id from search_clusters. WORKFLOW: search_clusters → pick cluster_id → get_cluster_suppliers → optionally get_supplier_detail (vet top-ranked factory) OR compare_suppliers (evaluate top 3-10 factories in the cluster). RETURNS: { cluster_id, has_more, data: [supplier summary objects sorted by quality_score DESC] } EXAMPLES: • User: "What factories are in the Humen womenswear cluster?" → get_cluster_suppliers({ cluster_id: "humen_women", limit: 20 }) • User: "Show me the top 10 factories in Jinjiang sportswear cluster" → get_cluster_suppliers({ cluster_id: "jinjiang_sportswear", limit: 10 }) • User: "虎门有哪些服装厂，分页看第二页" → get_cluster_suppliers({ cluster_id: "humen_women", limit: 20, offset: 20 }) ERRORS & SELF-CORRECTION: • Empty data → either (a) cluster has no mapped suppliers (try compare_clusters to see supplier_count), or (b) cluster_id invalid. Re-run search_clusters. • cluster_id unknown → search_clusters({ specialization: "..." }) returns cluster_id values. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not guess cluster_ids — always resolve via search_clusters. Do not use this to find suppliers globally — use search_suppliers. Do not iterate clusters in a loop — use compare_clusters. NOTE: Sorted by quality_score DESC. Source: MRC Data (meacheal.ai). 中文：列出某产业带内所有供应商，按质量评分排序。分页最多 50 条/页。