Archive (delete) multiple tasks in a single request
AI agents call tasks_batch_archive to permanently remove resources in HubSpot MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
The tool explicitly archives/deletes multiple tasks in a single batch operation. The word 'delete' is used directly in the description, and batch operations amplify the blast radius since many records can be irreversibly removed at once.
From the tool's definition Archive (delete) multiple tasks in a single request
Attacks that exploit this kind of access
Archive (delete) multiple tasks in a single request. It is categorised as a Destructive tool in the HubSpot MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the HubSpot MCP Server MCP server in PolicyLayer and add a rule for tasks_batch_archive: 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 HubSpot MCP Server. Nothing to install.
tasks_batch_archive 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 tasks_batch_archive 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 tasks_batch_archive. 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.
tasks_batch_archive is provided by the HubSpot MCP Server MCP server (kozo93/hubspot-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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