toys__release_calendar

［NEW玩具情報站］取得某個月的扭蛋與公仔發售表（依官方發售時期）。

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

Low RISK CLASS

Category Read

Parameters 21 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

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

WHAT IT DOES

What toys__release_calendar does on AI 代理人任務中樞

AI agents call toys__release_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
`brand`	string	—
`month`	string	Yes	YYYY-MM

Parameters from the server's own tool schema.

RISK

Why toys__release_calendar is rated Low

Even though toys__release_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

RECOMMENDED RULE

The rule that runs toys__release_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__release_calendar, this is the rule to start with:

toys__release_calendar Allowed

toys__release_calendar 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__release_calendar": {}
  }
}

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__release_calendar call is checked against it from then on.

FAQ

Questions about toys__release_calendar

What does the toys__release_calendar tool do? +

［NEW玩具情報站］取得某個月的扭蛋與公仔發售表（依官方發售時期）。. 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__release_calendar accept? +

toys__release_calendar accepts 2 parameters: brand, month. Required: month. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on toys__release_calendar? +

Register the AI 代理人任務中樞 MCP server in PolicyLayer and add a rule for toys__release_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.

What risk level is toys__release_calendar? +

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

Can I rate-limit toys__release_calendar? +

Yes. Add a rate_limit block to the toys__release_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.

How do I block toys__release_calendar completely? +

Set action: deny in the PolicyLayer policy for toys__release_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.

What MCP server provides toys__release_calendar? +

toys__release_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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