TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD
Marks the Trello board specified by idBoard as viewed for the current user, exclusively updating its viewed status and potentially influencing its position in user-specific lists and notification settings.
This record as markdown: /tools/trello/trello-add-boards-mark-as-viewed-by-id-board.md
What TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD does on Trello
AI agents use TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD 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.
| Parameter | Type | Required | Description |
|---|---|---|---|
idBoard | string | — | The unique identifier of the Trello board to be marked as viewed. |
Parameters from the server's own tool schema.
Why TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD is rated Medium
This tool creates or modifies data reversibly by updating a user's board viewing status. It does not retrieve data (Read), execute arbitrary code (Execute), irreversibly delete data (Destructive), or move money (Financial). The blast radius is minimal—a misused tool could only clutter the user's board view history or notification priorities, with no data loss or financial impact.
From the tool's definition Tool description states it 'marks the Trello board specified by idBoard as viewed' and 'updating its viewed status'. The verb 'marks' and 'updating' indicate modification of data (board viewed status).
Attacks that exploit this kind of access
The rule that runs TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD 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 TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD, this is the rule to start with:
TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD 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 TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD call is checked against it from then on.
Questions about TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD
Marks the Trello board specified by idBoard as viewed for the current user, exclusively updating its viewed status and potentially influencing its position in user-specific lists and notification settings. 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.
TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD accepts 1 parameter: idBoard. The full parameter table on this page comes from the server's own tool schema.
Register the Trello MCP server in PolicyLayer and add a rule for TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD: 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.
TRELLO_ADD_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD 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_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD 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_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD. 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_BOARDS_MARK_AS_VIEWED_BY_ID_BOARD is provided by the Trello MCP server (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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