This record as markdown: /tools/artemnikov-trello-mcp/add-comment.md
What add_comment does on Trello
AI agents use add_comment to create or update resources in Trello, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Trello environment.
Why add_comment is rated Medium
Adding a comment modifies a card by appending a comment, which is a standard Write operation. It is not destructive (comments can be edited or deleted), not financial, not executable code, and not a simple read. The blast radius is minimal since comments are non-critical metadata and easily reversible. Severity is low because misuse would only create unwanted comments, causing minor disruption.
From the tool's definition Tool name is 'add_comment' and description states 'Add a comment to a card.' This creates new data (a comment) on a Trello card, which is a reversible write operation.
Attacks that exploit this kind of access
The rule that runs add_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 add_comment, this is the rule to start with:
add_comment stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Trello, apply this rule, and every add_comment call is checked against it from then on.
Questions about add_comment
Add a comment to a card. It is categorised as a Write tool in the Trello MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Trello MCP server in PolicyLayer and add a rule for 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. Nothing to install.
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 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 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.
add_comment is provided by the Trello MCP server (artemnikov/trello-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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