travel__plan_leave_2027

［2027 連假與訂票］輸入可請的假日天數，算出 2027 年最長的連休組合與要請哪幾天。

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

Medium RISK CLASS

Category Write

Parameters 11 required

Recommended Rate-limitedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/com-penguindriver-hub/travel--plan-leave-2027.md

WHAT IT DOES

What travel__plan_leave_2027 does on AI 代理人任務中樞

AI agents use travel__plan_leave_2027 to create or update resources in AI 代理人任務中樞, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your AI 代理人任務中樞 environment.

Parameter	Type	Required	Description
`leave`	number	Yes	可請天數 1～10

Parameters from the server's own tool schema.

RISK

Why travel__plan_leave_2027 is rated Medium

An AI agent can call travel__plan_leave_2027 faster than any human can review: one bad instruction and it creates or modifies resources in AI 代理人任務中樞 by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs travel__plan_leave_2027 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 travel__plan_leave_2027, this is the rule to start with:

travel__plan_leave_2027 Rate-limited

travel__plan_leave_2027 stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "travel__plan_leave_2027": {
      "limits": [
        {
          "counter": "travel__plan_leave_2027_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT 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 travel__plan_leave_2027 call is checked against it from then on.

FAQ

Questions about travel__plan_leave_2027

What does the travel__plan_leave_2027 tool do? +

［2027 連假與訂票］輸入可請的假日天數，算出 2027 年最長的連休組合與要請哪幾天。. It is categorised as a Write tool in the AI 代理人任務中樞 MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does travel__plan_leave_2027 accept? +

travel__plan_leave_2027 accepts 1 parameter: leave. Required: leave. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on travel__plan_leave_2027? +

Register the AI 代理人任務中樞 MCP server in PolicyLayer and add a rule for travel__plan_leave_2027: 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 travel__plan_leave_2027? +

travel__plan_leave_2027 is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit travel__plan_leave_2027? +

Yes. Add a rate_limit block to the travel__plan_leave_2027 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 travel__plan_leave_2027 completely? +

Set action: deny in the PolicyLayer policy for travel__plan_leave_2027. 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 travel__plan_leave_2027? +

travel__plan_leave_2027 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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