muse_ai_task_get

获取妙思任务结果接口

SERVERTencent Ad MCP Server SOURCEandyleimc-source/tencent-ad-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/andyleimc-source-tencent-ad-mcp/muse-ai-task-get.md

WHAT IT DOES

What muse_ai_task_get does on Tencent Ad MCP Server

AI agents call muse_ai_task_get to retrieve information from Tencent Ad MCP Server without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why muse_ai_task_get is rated Low

This tool retrieves results from AI tasks within the Tencent Ads platform. The 'get' suffix and retrieval-focused description indicate it queries existing data without side effects. No data is created, modified, deleted, or executed. Even if misused, an AI agent would only over-query task results, causing minimal operational impact.

From the tool's definition Tool name 'muse_ai_task_get' with verb 'get' and description '获取妙思任务结果接口' (retrieve Muse AI task results interface) indicates a retrieval operation.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs muse_ai_task_get safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Tencent Ad MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For muse_ai_task_get, this is the rule to start with:

muse_ai_task_get Allowed

muse_ai_task_get 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": {
    "muse_ai_task_get": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect Tencent Ad MCP Server, apply this rule, and every muse_ai_task_get call is checked against it from then on.

FAQ

Questions about muse_ai_task_get

What does the muse_ai_task_get tool do? +

获取妙思任务结果接口. It is categorised as a Read tool in the Tencent Ad MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on muse_ai_task_get? +

Register the Tencent Ad MCP Server MCP server in PolicyLayer and add a rule for muse_ai_task_get: 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 Tencent Ad MCP Server. Nothing to install.

What risk level is muse_ai_task_get? +

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

Can I rate-limit muse_ai_task_get? +

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

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

muse_ai_task_get is provided by the Tencent Ad MCP Server MCP server (andyleimc-source/tencent-ad-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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