toys__search_toys

［NEW玩具情報站］搜尋亞洲扭蛋、盒玩、公仔、模型（中文或日文，例如寶可夢、ちいかわ、鋼彈），回傳官方發售時期、價格、狀態（謠傳／官方公布／確定發售／已發售／再販／售完）、限量限定與來源。

SERVERAI 代理人任務中樞 SOURCEhttps://hub.penguindriver.com/mcp

Low RISK CLASS

Category Read

Parameters 51 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/com-penguindriver-hub/toys--search-toys.md

WHAT IT DOES

What toys__search_toys does on AI 代理人任務中樞

AI agents call toys__search_toys to retrieve information from AI 代理人任務中樞 without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Parameter	Type	Required
`brand`	string	—
`limit`	integer	—
`query`	string	Yes
`status`	string	—
`category`	string	—

Parameters from the server's own tool schema.

RISK

Why toys__search_toys is rated Low

Even though toys__search_toys 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.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs toys__search_toys safely

PolicyLayer is an MCP gateway: it sits between your AI agents and AI 代理人任務中樞, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For toys__search_toys, this is the rule to start with:

toys__search_toys Allowed

toys__search_toys is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "toys__search_toys": {}
  }
}

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect AI 代理人任務中樞, apply this rule, and every toys__search_toys call is checked against it from then on.

FAQ

Questions about toys__search_toys

What does the toys__search_toys tool do? +

［NEW玩具情報站］搜尋亞洲扭蛋、盒玩、公仔、模型（中文或日文，例如寶可夢、ちいかわ、鋼彈），回傳官方發售時期、價格、狀態（謠傳／官方公布／確定發售／已發售／再販／售完）、限量限定與來源。. It is categorised as a Read tool in the AI 代理人任務中樞 MCP Server, which means it retrieves data without modifying state.

What parameters does toys__search_toys accept? +

toys__search_toys accepts 5 parameters: brand, limit, query, status, category. Required: query. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on toys__search_toys? +

Register the AI 代理人任務中樞 MCP server in PolicyLayer and add a rule for toys__search_toys: 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 AI 代理人任務中樞. Nothing to install.

What risk level is toys__search_toys? +

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

Can I rate-limit toys__search_toys? +

Yes. Add a rate_limit block to the toys__search_toys 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 toys__search_toys completely? +

Set action: deny in the PolicyLayer policy for toys__search_toys. 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 toys__search_toys? +

toys__search_toys is provided by the AI 代理人任務中樞 MCP server (https://hub.penguindriver.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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