Delete a goal created via the API. Use this when regenerating a goal after a learner retakes a skill assessment: call create_goal with the new suggested_goal_seed, then call delete_goal on the obsolete goal so the learner
AI agents call delete_goal to permanently remove resources in Unfold It MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
This tool irreversibly removes data (goals) from the system. Although the blast radius is constrained to individual learner goals rather than system-wide data, deletion is a destructive operation that cannot be undone. The tool is recommended for use after creating replacement goals, confirming its destructive intent.
From the tool's definition Tool name is 'delete_goal' with description stating 'Delete a goal created via the API.' The description explicitly uses the word 'delete' and indicates irreversible removal of goal data.
Attacks that exploit this kind of access
Delete a goal created via the API. Use this when regenerating a goal after a learner retakes a skill assessment: call create_goal with the new suggested_goal_seed, then call delete_goal on the obsolete goal so the learner. It is categorised as a Destructive tool in the Unfold It MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Unfold It MCP Server MCP server in PolicyLayer and add a rule for delete_goal: 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 Unfold It MCP Server. Nothing to install.
delete_goal 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_goal 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_goal. 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_goal is provided by the Unfold It MCP Server MCP server (unfold-it/unfoldit-mcp-server). 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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