This record as markdown: /tools/io-github-dearlordylord-huly-mcp/update-board.md
What update_board does on Huly
AI agents use update_board to create or update resources in Huly, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Huly environment.
Why update_board is rated Medium
The tool modifies board configuration or content in Huly (a project management/collaboration platform), which is a reversible write operation. It does not delete data (would be Destructive), execute arbitrary code (would be Execute), move money (would be Financial), or merely read data (would be Read).
From the tool's definition Tool name is 'update_board' and description states 'Update a Huly board', indicating modification of existing board data.
Attacks that exploit this kind of access
The rule that runs update_board safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Huly, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For update_board, this is the rule to start with:
update_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 Huly, apply this rule, and every update_board call is checked against it from then on.
Questions about update_board
Update a Huly board. It is categorised as a Write tool in the Huly MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Huly 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 Huly. Nothing to install.
update_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 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.
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.
update_board is provided by the Huly MCP server (@firfi/huly-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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