Move a card to a different position or column
AI agents use move_card to create or update resources in GitHub MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your GitHub MCP Server environment.
Moving a card changes its position or column in a project board, which is a reversible write operation. It does not delete data (not Destructive), execute arbitrary code (not Execute), involve financial transactions (not Financial), or retrieve data without side effects (not Read). The operation is fully reversible—cards can be moved again to restore prior state.
From the tool's definition Tool name 'move_card' and description 'Move a card to a different position or column' indicate reordering/repositioning of project management cards within GitHub project boards. This is a reversible modification operation.
Attacks that exploit this kind of access
Move a card to a different position or column. It is categorised as a Write tool in the GitHub MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the GitHub MCP Server MCP server in PolicyLayer and add a rule for move_card: 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 GitHub MCP Server. Nothing to install.
move_card 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 move_card 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 move_card. 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.
move_card is provided by the GitHub MCP Server MCP server (tuanle96/mcp-github). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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