Add a comment to a Trello card. Args: - card_id (string): The card to comment on - text (string): Comment text (supports Markdown) Returns: The created comment action.
AI agents use trello_add_comment to create or update resources in Trello MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Trello MCP Server environment.
Adding a comment is a reversible Write operation—it creates new data (the comment) but does not delete, destroy, execute code, or move money. The blast radius is minimal since comments can be edited or deleted and do not affect core card functionality. The low severity reflects the non-destructive, non-critical nature of adding comments to project management cards.
From the tool's definition The tool 'trello_add_comment' creates or modifies data by adding a comment to a Trello card. The description states 'Add a comment' and returns 'The created comment action', indicating a create operation.
Attacks that exploit this kind of access
Add a comment to a Trello card. Args: - card_id (string): The card to comment on - text (string): Comment text (supports Markdown) Returns: The created comment action. It is categorised as a Write tool in the Trello MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Trello MCP Server MCP server in PolicyLayer and add a rule for trello_add_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 MCP Server. Nothing to install.
trello_add_comment is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the trello_add_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 trello_add_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.
trello_add_comment is provided by the Trello MCP Server MCP server (rdeprey/trello-mcp-server). 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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