muse_ai_material_add

选择并保存妙思AI素材接口

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-material-add.md

WHAT IT DOES

What muse_ai_material_add does on Tencent Ad MCP Server

AI agents use muse_ai_material_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_material_add is rated Medium

The 'add' action combined with 'muse_ai_material_add' and the description's reference to saving ('保存') materials indicates this tool creates or modifies data within the advertising platform. This is a Write operation (reversible data creation), not Read (no query-only retrieval), Execute (no external code/command execution), Destructive (no deletion), or Financial (no direct money movement).

From the tool's definition Tool name and description indicate 'add' operation ('保存' means 'save/store' in Chinese) for AI materials, which creates/stores new data in the Tencent Ads system.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

muse_ai_material_add Rate-limited

muse_ai_material_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_material_add": {
      "limits": [
        {
          "counter": "muse_ai_material_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_material_add call is checked against it from then on.

FAQ

Questions about muse_ai_material_add

What does the muse_ai_material_add tool do? +

选择并保存妙思AI素材接口. 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_material_add? +

Register the Tencent Ad MCP Server MCP server in PolicyLayer and add a rule for muse_ai_material_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_material_add? +

muse_ai_material_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_material_add? +

Yes. Add a rate_limit block to the muse_ai_material_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_material_add completely? +

Set action: deny in the PolicyLayer policy for muse_ai_material_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_material_add? +

muse_ai_material_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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