update_asset

SERVER3dassets SOURCE3dassets-mcp

Medium RISK CLASS

Category Write

Parameters 81 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/3dassets-mcp/update-asset.md

WHAT IT DOES

What update_asset does on 3dassets

AI agents use update_asset to create or update resources in 3dassets, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 3dassets environment.

Parameter	Type	Required	Description
`slug`	string	Yes
`tags`	array	—
`title`	string	—
`aiModel`	string	—	Model ID or custom name; empty string clears attribution
`summary`	string	—
`category`	string	—	From list_categories
`aiGenerated`	boolean	—
`description`	string	—

Parameters from the server's own tool schema.

RISK

Why update_asset is rated Medium

An AI agent can call update_asset faster than any human can review: one bad instruction and it creates or modifies resources in 3dassets by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs update_asset safely

PolicyLayer is an MCP gateway: it sits between your AI agents and 3dassets, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_asset, this is the rule to start with:

update_asset Rate-limited

update_asset 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": {
    "update_asset": {
      "limits": [
        {
          "counter": "update_asset_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 3dassets, apply this rule, and every update_asset call is checked against it from then on.

FAQ

Questions about update_asset

What does the update_asset tool do? +

Edit the metadata of one of the user’s own assets. The uploaded GLB can never be changed. Editing an asset that is already published does not change it: the proposal goes to the review queue and the live version keeps serving until a person approves it. It is categorised as a Write tool in the 3dassets MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

What parameters does update_asset accept? +

update_asset accepts 8 parameters: slug, tags, title, aiModel, summary, category, aiGenerated, description. Required: slug. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on update_asset? +

Register the 3dassets MCP server in PolicyLayer and add a rule for update_asset: 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 3dassets. Nothing to install.

What risk level is update_asset? +

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

Can I rate-limit update_asset? +

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

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

update_asset is provided by the 3dassets MCP server (3dassets-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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