get_product_categories

shallow

ai.meacheal/mrc-data · Verify this server

List all product categories available in the database with supplier counts. USE THIS FIRST when: - User doesn't know what to search for - User asks "what do you have" / "what can I source" - User needs to explore the database - "what's the most common product category in Guangdong" - "show me all product types you cover" - "which categories have the most suppliers" - "what apparel categories exist in [province]" - "database catalog / inventory overview / category list" - "有哪些品类 / 能找什么 / 覆盖哪些产品 / 品类分布" - "[省份] 主要做什么品类" WORKFLOW: Standalone discovery entry point. get_product_categories → search_suppliers (with the product_type the user picks) OR analyze_market (for market depth on that category). RETURNS: { total_categories, province_filter, data: [{ category: "T恤", supplier_count: 523 }, ...] } EXAMPLES: • User: "What product types does your database cover?" → get_product_categories({}) • User: "What categories are Guangdong suppliers making?" → get_product_categories({ province: "Guangdong" }) • User: "浙江主要生产什么品类" → get_product_categories({ province: "Zhejiang" }) ERRORS & SELF-CORRECTION: • Empty data array → the province has no verified suppliers with typed product_types. Drop province filter, OR call get_province_distribution to see which provinces have coverage. • Invalid province → use English (Guangdong) or Chinese (广东). normalizeProvince handles both. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call this before every search — it's an exploratory tool. Do not use for geographic insight — use get_province_distribution. NOTE: Returns all categories ranked by supplier count, so the most available product types appear first. Source: MRC Data (meacheal.ai). 中文:列出数据库中所有品类及其供应商数量,按数量排序。可按省份筛选。

100.0/100

1 trials · measured 8 days ago

get_product_categories scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against ai.meacheal/mrc-data, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.

Component breakdown

ComponentWeightValue
Reliability35%not applicable
Schema integrity25%100.0
Failure behaviour15%not applicable
Latency15%not applicable
Concurrency10%not applicable

Tool details

Transport
remote
Credential class
gated
Input schema
not declared
Output schema
not declared
Side-effect classification
unclassified

Score history

DayScoreTierMethodology
2026-08-25100.0shallowv0.2.0

Probe evidence

ProbeOutcomes
schema_integritypass: 1

Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.

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Vouch score: get_product_categories
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get_product_categories — Vouch