Get all data models (Prisma, Zod, TypeScript interfaces, etc.), optionally filtered by domain.
AI agents call get_models to retrieve information from Carto MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves schema and type definitions from the codebase (Prisma models, Zod schemas, TypeScript interfaces). It performs read-only queries to provide structural information about data models, optionally filtered by domain. There are no side effects, no data modification, no code execution, and no irreversible actions.
From the tool's definition Tool description states 'Get all data models' - a retrieval operation with no mention of modification, deletion, or execution.
Risk signalsBulk/mass operation — affects multiple targets
Documented attack patterns abuse exactly the kind of access get_models gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Carto MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_models:
{
"version": "1",
"default": "deny",
"tools": {
"get_models": {}
}
}get_models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get all data models (Prisma, Zod, TypeScript interfaces, etc.), optionally filtered by domain. It is categorised as a Read tool in the Carto MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Carto MCP Server MCP server in PolicyLayer and add a rule for get_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 Carto MCP Server. Nothing to install.
get_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 get_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 get_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.
get_models is provided by the Carto MCP Server MCP server (theanshsonkar/carto). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 22 Carto MCP Server tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
22 Carto MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.