Get all cards from a Trello board with optional filtering and detailed information like attachments and members.
AI agents call getCardsOnBoard to retrieve information from Trello MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves card data from a Trello board. It queries and returns existing information (cards, attachments, members) with no side effects, no data modification, and no irreversible actions. This is a standard Read operation with minimal risk—the worst-case scenario would be unauthorized access to board information already visible to the authenticated user.
From the tool's definition Tool name 'getCardsOnBoard' and description 'Get all cards from a Trello board with optional filtering and detailed information' indicate data retrieval without modification.
Attacks that exploit this kind of access
Get all cards from a Trello board with optional filtering and detailed information like attachments and members. It is categorised as a Read tool in the Trello MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Trello MCP Server MCP server in PolicyLayer and add a rule for getCardsOnBoard: 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.
getCardsOnBoard is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the getCardsOnBoard 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 getCardsOnBoard. 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.
getCardsOnBoard is provided by the Trello MCP Server MCP server (semblancelabs/trello-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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