Delete a card from a project
AI agents call delete_card to permanently remove resources in GitHub MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Deleting a card from a GitHub project permanently removes that work item or tracking entity from the project board. This action cannot be undone through the tool's normal operation and represents irreversible data loss, fitting the Destructive category.
From the tool's definition Tool name is 'delete_card' and description states 'Delete a card from a project'. The verb 'delete' indicates irreversible removal of data.
Attacks that exploit this kind of access
Delete a card from a project. It is categorised as a Destructive tool in the GitHub MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the GitHub MCP Server MCP server in PolicyLayer and add a rule for delete_card: 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 GitHub MCP Server. Nothing to install.
delete_card 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_card 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_card. 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_card is provided by the GitHub MCP Server MCP server (tuanle96/mcp-github). 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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