Remove a model
AI agents call ollama_rm to permanently remove resources in Unified MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool performs an irreversible deletion operation ('Remove a model'). Once a model is removed, it cannot be recovered without re-downloading or re-training. This fits the Destructive category as it permanently deletes data and the action cannot be undone.
From the tool's definition Tool name 'ollama_rm' and description 'Remove a model' indicate irreversible deletion of a model artifact from the Ollama local LLM management system.
Attacks that exploit this kind of access
Remove a model. It is categorised as a Destructive tool in the Unified MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Unified MCP Server MCP server in PolicyLayer and add a rule for ollama_rm: 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 Unified MCP Server. Nothing to install.
ollama_rm is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the ollama_rm 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 ollama_rm. 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.
ollama_rm is provided by the Unified MCP Server MCP server (qingyunyupan/ollama-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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