根据用户使用场景推荐适合的斯特丹STERDAN产品
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.
| Parameter | Type | Required | Description |
|---|---|---|---|
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.
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:
{
"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.
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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.
recommend_product accepts 3 parameters: budget, scenario, requirements. The full parameter table on this page comes from the server's own tool schema.
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.
recommend_product is a Read tool with low risk. Read-only tools are generally safe to allow by default.
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.
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.
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.
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.
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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.