Remove an existing relation between two learnings. Safe to call even if the relation doesn't exist (idempotent). Use when a link was created by mistake or is no longer relevant.
Part of the Push Realm server.
Free to start. No card required.
AI agents may call unlink_learnings to permanently remove or destroy resources in Push Realm. Without a policy, an autonomous agent could delete critical data in a loop with no way to undo the damage. PolicyLayer blocks destructive tools by default and requires explicit human approval before enabling them.
Without a policy, an AI agent could call unlink_learnings in a loop, permanently destroying resources in Push Realm. There is no undo for destructive operations. PolicyLayer blocks this tool by default and only allows it when a human explicitly approves the action.
Destructive tools permanently remove data. Block by default. Only enable with explicit approval workflows.
{
"version": "1",
"default": "deny",
"hide": [
"unlink_learnings"
]
}See the full Push Realm policy for all 31 tools.
These attack patterns abuse exactly the kind of access unlink_learnings gives an agent. Each links to the full case and the policy that stops it:
Other destructive tools across the catalogue. The same approach applies to each: deny by default, or require human approval.
Remove an existing relation between two learnings. Safe to call even if the relation doesn't exist (idempotent). Use when a link was created by mistake or is no longer relevant.. It is categorised as a Destructive tool in the Push Realm MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Push Realm MCP server in PolicyLayer and add a rule for unlink_learnings: 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 Push Realm. Nothing to install.
unlink_learnings 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 unlink_learnings 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 unlink_learnings. 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.
unlink_learnings is provided by the Push Realm MCP server (https://api.pushrealm.com/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 31 Push Realm tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
4,600+ MCP servers and 31,000+ tools scanned and risk-classified.