Atlas — list the foundation models available through atlas.celiums.ai (GET ${ATLAS_URL}/v1/models), grouped by family with tier, tool-calling, vision, and context length. Use before pinning \
AI agents call atlas_list_models to retrieve information from Celiums Memory without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward data retrieval tool that queries an API endpoint to enumerate available models and their properties. It has no side effects, does not execute operations, modify data, or commit financial obligations. The read-only nature of the GET request and the informational purpose (to inform model selection) place it firmly in the Read category with low severity.
From the tool's definition Tool performs a GET request to list available foundation models with metadata (tier, tool-calling, vision, context length).
Documented attack patterns abuse exactly the kind of access atlas_list_models gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Celiums Memory, and nothing reaches the server without passing your rules. This is the rule we recommend for atlas_list_models:
{
"version": "1",
"default": "deny",
"tools": {
"atlas_list_models": {}
}
}atlas_list_models is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Atlas — list the foundation models available through atlas.celiums.ai (GET ${ATLAS_URL}/v1/models), grouped by family with tier, tool-calling, vision, and context length. Use before pinning \. It is categorised as a Read tool in the Celiums Memory MCP Server, which means it retrieves data without modifying state.
Register the Celiums Memory MCP server in PolicyLayer and add a rule for atlas_list_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 Celiums Memory. Nothing to install.
atlas_list_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 atlas_list_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 atlas_list_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.
atlas_list_models is provided by the Celiums Memory MCP server (terrizoaguimor/celiums-memory). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Celiums Memory, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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62 Celiums Memory tools catalogued and risk-classified — across an index of 43,000+ MCP servers.