update_board

Update a board's name or description.

Server Trello MCP Server pypi:fastmcp-trello
Category Write
Risk class Medium
Parameters 00 required

What update_board does on Trello MCP Server

AI agents use update_board 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.

Why update_board needs a policy

An AI agent can call update_board faster than any human can review — one bad instruction and it creates or modifies resources in Trello MCP Server by the hundred, each call as confident as the last.

Questions about update_board

What does the update_board tool do? +

Update a board's name or description. 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.

How do I enforce a policy on update_board? +

Register the Trello MCP Server MCP server in PolicyLayer and add a rule for update_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 MCP Server. Nothing to install.

What risk level is update_board? +

update_board is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_board? +

Yes. Add a rate_limit block to the update_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.

How do I block update_board completely? +

Set action: deny in the PolicyLayer policy for update_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.

What MCP server provides update_board? +

update_board is provided by the Trello MCP Server MCP server (pypi:fastmcp-trello). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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