This record as markdown: /tools/af7007-mcp-trader/delete-model.md
What delete_model does on MCP Trader Server
AI agents call delete_model to permanently remove resources in MCP Trader Server, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why delete_model is rated Critical
Deletion of ML models constitutes irreversible destruction of computational assets. While not directly financial, the loss of a trained model represents significant operational and potentially financial impact (retraining costs, lost trading signals if model was in use). In the context of a trading server, deleting an active model could disrupt automated trading operations.
From the tool's definition Tool name is 'delete_model' and description states 'Delete a model from Ollama' — explicit use of the word 'Delete' indicates irreversible removal of data/resources.
Attacks that exploit this kind of access
The rule that runs delete_model safely
PolicyLayer is an MCP gateway: it sits between your AI agents and MCP Trader Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_model, this is the rule to start with:
delete_model is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect MCP Trader Server, apply this rule, and every delete_model call is checked against it from then on.
Questions about delete_model
Delete a model from Ollama. It is categorised as a Destructive tool in the MCP Trader Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the MCP Trader Server MCP server in PolicyLayer and add a rule for delete_model: 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 MCP Trader Server. Nothing to install.
delete_model 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 delete_model 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 delete_model. 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.
delete_model is provided by the MCP Trader Server MCP server (af7007/mcp-trader). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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