search_models
Search the ready-made 3D model catalogue by name, category and tag. The default catalogue is a few hundred public-domain (CC0) props, free to use commercially. Faster and more predictable than generating when a common object will do: search first, generate what you cannot find.
This record as markdown: /tools/3d-ar-studio-mcp/search-models.md
What search_models does on 3d Ar Studio
AI agents call search_models to retrieve information from 3d Ar Studio 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 |
|---|---|---|---|
limit | integer | — | How many results to return. Default 12. |
query | string | — | Words to match against names, categories and tags. Omit to browse. |
catalogue | string | — | A different catalogue URL to search instead of the default. |
Parameters from the server's own tool schema.
Why search_models is rated Low
Even though search_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
The rule that runs search_models safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 3d Ar Studio, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For search_models, this is the rule to start with:
search_models is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect 3d Ar Studio, apply this rule, and every search_models call is checked against it from then on.
Questions about search_models
Search the ready-made 3D model catalogue by name, category and tag. The default catalogue is a few hundred public-domain (CC0) props, free to use commercially. Faster and more predictable than generating when a common object will do: search first, generate what you cannot find. It is categorised as a Read tool in the 3d Ar Studio MCP Server, which means it retrieves data without modifying state.
search_models accepts 3 parameters: limit, query, catalogue. The full parameter table on this page comes from the server's own tool schema.
Register the 3d Ar Studio MCP server in PolicyLayer and add a rule for search_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 3d Ar Studio. Nothing to install.
search_models is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the search_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.
Set action: deny in the PolicyLayer policy for search_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.
search_models is provided by the 3d Ar Studio MCP server (3d-ar-studio-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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