This record as markdown: /tools/io-github-delorenj-mcp-server-trello/delete-comment.md
What delete_comment does on Trello
AI agents call delete_comment to permanently remove resources in Trello, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Why delete_comment is rated Critical
Deleting a comment cannot be undone and permanently removes data from the Trello card. This qualifies as Destructive rather than Write (which is reversible). The severity is medium because the blast radius is limited to a single comment's loss, not affecting core card/board structure or financial operations. A user might restore from backups, but the tool itself provides no undo mechanism.
From the tool's definition Tool name is 'delete_comment' and description states 'Delete a comment from a Trello card' — the action is irreversible deletion of data.
Attacks that exploit this kind of access
The rule that runs delete_comment safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Trello, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For delete_comment, this is the rule to start with:
delete_comment is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Trello, apply this rule, and every delete_comment call is checked against it from then on.
Questions about delete_comment
Delete a comment from a Trello card. It is categorised as a Destructive tool in the Trello MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Trello MCP server in PolicyLayer and add a rule for delete_comment: 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 Trello. Nothing to install.
delete_comment 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_comment 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_comment. 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_comment is provided by the Trello MCP server (@delorenj/mcp-server-trello). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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