Cancel a running enrichment operation. This will stop the enrichment from processing more items.
Part of the Exa Websets server.
Free to start. No card required.
AI agents may call cancel_enrichment to permanently remove or destroy resources in Exa Websets. 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 cancel_enrichment in a loop, permanently destroying resources in Exa Websets. 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": [
"cancel_enrichment"
]
}See the full Exa Websets policy for all 16 tools.
These attack patterns abuse exactly the kind of access cancel_enrichment 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.
Cancel a running enrichment operation. This will stop the enrichment from processing more items.. It is categorised as a Destructive tool in the Exa Websets MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Exa Websets MCP server in PolicyLayer and add a rule for cancel_enrichment: 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 Exa Websets. Nothing to install.
cancel_enrichment 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 cancel_enrichment 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 cancel_enrichment. 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.
cancel_enrichment is provided by the Exa Websets MCP server (exa-labs/websets-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 16 Exa Websets tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
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