toys__global_toy_calendar
［NEW玩具情報站］全球玩具、模型、公仔、娃娃官方發售表（亞洲・美國・歐洲）：萬代、Good Smile、TAKARA TOMY、LEGO、Funko 等，含發售／出貨日、價格與官方連結。
This record as markdown: /tools/com-penguindriver-hub/toys--global-toy-calendar.md
What toys__global_toy_calendar does on AI 代理人任務中樞
AI agents call toys__global_toy_calendar 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 | Description |
|---|---|---|---|
kind | string | — | 類別 |
zone | string | — | 地區 |
month | string | — | 月份 YYYY-MM；不填為即將發售 |
Parameters from the server's own tool schema.
Why toys__global_toy_calendar is rated Low
Even though toys__global_toy_calendar 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
The rule that runs toys__global_toy_calendar 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__global_toy_calendar, this is the rule to start with:
toys__global_toy_calendar is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect AI 代理人任務中樞, apply this rule, and every toys__global_toy_calendar call is checked against it from then on.
Questions about toys__global_toy_calendar
［NEW玩具情報站］全球玩具、模型、公仔、娃娃官方發售表（亞洲・美國・歐洲）：萬代、Good Smile、TAKARA TOMY、LEGO、Funko 等，含發售／出貨日、價格與官方連結。. 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.
toys__global_toy_calendar accepts 3 parameters: kind, zone, month. The full parameter table on this page comes from the server's own tool schema.
Register the AI 代理人任務中樞 MCP server in PolicyLayer and add a rule for toys__global_toy_calendar: 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.
toys__global_toy_calendar 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 toys__global_toy_calendar 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 toys__global_toy_calendar. 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.
toys__global_toy_calendar 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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