list_ai_models

Search model suggestions from OpenRouter, refreshed hourly. Custom model/tool names are accepted; the list is not exhaustive. Unavailable suggestions never block uploads.

SERVER3dassets SOURCE3dassets-mcp

Low RISK CLASS

Category Read

Parameters 10 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/3dassets-mcp/list-ai-models.md

WHAT IT DOES

What list_ai_models does on 3dassets

AI agents call list_ai_models to retrieve information from 3dassets 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
`q`	string	—

Parameters from the server's own tool schema.

RISK

Why list_ai_models is rated Low

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

list_ai_models Allowed

list_ai_models 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": {
    "list_ai_models": {}
  }
}

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

The button opens the PolicyLayer dashboard: create your workspace, connect 3dassets, apply this rule, and every list_ai_models call is checked against it from then on.

FAQ

Questions about list_ai_models

What does the list_ai_models tool do? +

Search model suggestions from OpenRouter, refreshed hourly. Custom model/tool names are accepted; the list is not exhaustive. Unavailable suggestions never block uploads. It is categorised as a Read tool in the 3dassets MCP Server, which means it retrieves data without modifying state.

What parameters does list_ai_models accept? +

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

How do I enforce a policy on list_ai_models? +

Register the 3dassets MCP server in PolicyLayer and add a rule for list_ai_models: 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 list_ai_models? +

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

Can I rate-limit list_ai_models? +

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

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

list_ai_models 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.

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