muse_ai_ugc_add

二次编辑素材回传接口

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

Medium RISK CLASS

Category Write

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What muse_ai_ugc_add does on Tencent Ad MCP Server

AI agents use muse_ai_ugc_add to create or update resources in Tencent Ad MCP Server, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Tencent Ad MCP Server environment.

RISK

Why muse_ai_ugc_add is rated Medium

This tool creates or modifies user-generated content (UGC) advertising assets within the Tencent Ads system. While reversible via update/delete operations, the creation of ad creatives at scale could significantly impact ad campaigns, audience reach, and marketing spend.

From the tool's definition Tool name 'muse_ai_ugc_add' with description '二次编辑素材回传接口' (secondary edit material/asset return interface). The '_add' suffix and 'return/回传' action indicate creating or modifying advertising creative assets in Tencent's ad platform.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

muse_ai_ugc_add Rate-limited

muse_ai_ugc_add 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": {
    "muse_ai_ugc_add": {
      "limits": [
        {
          "counter": "muse_ai_ugc_add_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 Tencent Ad MCP Server, apply this rule, and every muse_ai_ugc_add call is checked against it from then on.

FAQ

Questions about muse_ai_ugc_add

What does the muse_ai_ugc_add tool do? +

二次编辑素材回传接口. It is categorised as a Write tool in the Tencent Ad MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on muse_ai_ugc_add? +

Register the Tencent Ad MCP Server MCP server in PolicyLayer and add a rule for muse_ai_ugc_add: 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_ugc_add? +

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

Can I rate-limit muse_ai_ugc_add? +

Yes. Add a rate_limit block to the muse_ai_ugc_add 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_ugc_add completely? +

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

muse_ai_ugc_add 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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