Low Risk

recommend_product

根据用户使用场景推荐适合的斯特丹STERDAN产品

How to control recommend_product ↓

AI agents call recommend_product to retrieve information from 斯特丹 钢制办公家具 STERDAN Steel-Furniture without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

ParameterTypeRequiredDescription
budget string 预算范围
scenario string 使用场景描述
requirements string 特殊需求

Parameters from the server's own tool schema.

Low Risk

Even though recommend_product only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.

Documented attack patterns abuse exactly the kind of access recommend_product gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and 斯特丹 钢制办公家具 STERDAN Steel-Furniture, and nothing reaches the server without passing your rules. This is the rule we recommend for recommend_product:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "recommend_product": {}
  }
}

recommend_product is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register 斯特丹 钢制办公家具 STERDAN Steel-Furniture — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
CAP THIS TOOL →

Free to start. No card required.

Go deeper

What does the recommend_product tool do? +

根据用户使用场景推荐适合的斯特丹STERDAN产品. It is categorised as a Read tool in the 斯特丹 钢制办公家具 STERDAN Steel-Furniture MCP Server, which means it retrieves data without modifying state.

What parameters does recommend_product accept? +

recommend_product accepts 3 parameters: budget, scenario, requirements. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on recommend_product? +

Register the 斯特丹 钢制办公家具 STERDAN Steel-Furniture MCP server in PolicyLayer and add a rule for recommend_product: 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 斯特丹 钢制办公家具 STERDAN Steel-Furniture. Nothing to install.

What risk level is recommend_product? +

recommend_product is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit recommend_product? +

Yes. Add a rate_limit block to the recommend_product 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.

How do I block recommend_product completely? +

Set action: deny in the PolicyLayer policy for recommend_product. 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.

What MCP server provides recommend_product? +

recommend_product is provided by the 斯特丹 钢制办公家具 STERDAN Steel-Furniture MCP server (o1labs/sterdan). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every 斯特丹 钢制办公家具 STERDAN Steel-Furniture tool call.

Deterministic rules across all 8 斯特丹 钢制办公家具 STERDAN Steel-Furniture tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

8 斯特丹 钢制办公家具 STERDAN Steel-Furniture tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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