models__get_ai_model

［AI 模型下架與替代日程］查單一模型 ID（如 gpt-4o-2024-05-13、claude-3-5-haiku-20241022、gemini-2.0-flash）的狀態、宣布淘汰日、下架日、剩幾天、官方建議替代與來源。

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

Low RISK CLASS

Category Read

Parameters 11 required

Recommended Allowedsee the rule below

Registry record Grade D, identity unverified Pull the record →

This record as markdown: /tools/com-penguindriver-hub/models--get-ai-model.md

WHAT IT DOES

What models__get_ai_model does on AI 代理人任務中樞

AI agents call models__get_ai_model 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
`id`	string	Yes

Parameters from the server's own tool schema.

RISK

Why models__get_ai_model is rated Low

Even though models__get_ai_model 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 models__get_ai_model 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 models__get_ai_model, this is the rule to start with:

models__get_ai_model Allowed

models__get_ai_model 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": {
    "models__get_ai_model": {}
  }
}

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 models__get_ai_model call is checked against it from then on.

FAQ

Questions about models__get_ai_model

What does the models__get_ai_model tool do? +

［AI 模型下架與替代日程］查單一模型 ID（如 gpt-4o-2024-05-13、claude-3-5-haiku-20241022、gemini-2.0-flash）的狀態、宣布淘汰日、下架日、剩幾天、官方建議替代與來源。. 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 models__get_ai_model accept? +

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

How do I enforce a policy on models__get_ai_model? +

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

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

Can I rate-limit models__get_ai_model? +

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

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

models__get_ai_model 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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