Compare multiple Chinese apparel industrial clusters side-by-side on key metrics. PREREQUISITE: You MUST first call search_clusters to obtain valid cluster_ids. Do not guess IDs. USE WHEN user asks: - "compare Humen vs Shishi vs Jinjiang" - "which cluster has lower labor cost — Humen or Dongguan"...
Part of the MRC Data — China's Apparel Supply Chain Infrastructure server.
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AI agents invoke compare_clusters to trigger processes or run actions in MRC Data — China's Apparel Supply Chain Infrastructure. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
compare_clusters can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. PolicyLayer enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
{
"version": "1",
"default": "deny",
"tools": {
"compare_clusters": {
"limits": [
{
"counter": "compare_clusters_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}See the full MRC Data — China's Apparel Supply Chain Infrastructure policy for all 19 tools.
These attack patterns abuse exactly the kind of access compare_clusters gives an agent. Each links to the full case and the policy that stops it:
Other execute tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.
Compare multiple Chinese apparel industrial clusters side-by-side on key metrics. PREREQUISITE: You MUST first call search_clusters to obtain valid cluster_ids. Do not guess IDs. USE WHEN user asks: - "compare Humen vs Shishi vs Jinjiang" - "which cluster has lower labor cost — Humen or Dongguan" - "side-by-side: Haining vs Xintang for denim" - "evaluate 3 clusters for my sportswear line" - "对比 [产业带1] 和 [产业带2]" / "哪个集群更适合 [品类]" - "rank these clusters by supplier count" - "which cluster has the highest scale for womenswear" - "follow-up: 'now compare the top 3 clusters you just listed'" Returns full records for each cluster so they can be compared on labor cost, rent, supplier count, scale, specializations, advantages, and risks. WORKFLOW: search_clusters → collect cluster_ids → compare_clusters → optionally get_cluster_suppliers on the winner to list factories in that specific cluster. RETURNS: { count: number, data: [full cluster objects with all fields] } EXAMPLES: • User: "Compare Humen, Shishi, and Jinjiang for sportswear sourcing" → compare_clusters({ cluster_ids: ["humen_women", "shishi_casual", "jinjiang_sportswear"] }) • User: "I want to evaluate Keqiao vs Zhili fabric markets" → compare_clusters({ cluster_ids: ["keqiao_fabric", "zhili_children"] }) • User: "对比虎门、石狮、晋江三个产业带" → compare_clusters({ cluster_ids: ["humen_women", "shishi_casual", "jinjiang_sportswear"] }) ERRORS & SELF-CORRECTION: • "Too many IDs (>10)" → split into batches of 10 and aggregate results in your response. • Fewer results than IDs sent → missing IDs were silently skipped (invalid cluster_id). Re-run search_clusters to verify IDs. • Empty data → all IDs were invalid. Re-run search_clusters and try again with fresh IDs. • Rate limit 429 → wait 60 seconds; do not retry immediately. AVOID: Do not call with guessed cluster_ids — always resolve them via search_clusters first. Do not use to list factories in a cluster — use get_cluster_suppliers. Do not compare > 10 clusters in one call. CONSTRAINT: Max 10 cluster IDs per call. NOTE: Source: MRC Data (meacheal.ai). 中文：对比多个产业带的核心指标（最多 10 个）。. It is categorised as a Execute tool in the MRC Data — China's Apparel Supply Chain Infrastructure MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MRC Data — China's Apparel Supply Chain Infrastructure MCP server in PolicyLayer and add a rule for compare_clusters: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches MRC Data — China's Apparel Supply Chain Infrastructure. Nothing to install.
compare_clusters is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the compare_clusters rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for compare_clusters. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
compare_clusters is provided by the MRC Data — China's Apparel Supply Chain Infrastructure MCP server (https://api.meacheal.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 19 MRC Data — China's Apparel Supply Chain Infrastructure tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
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