AI agents use karea_done to create or update resources in Karea — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Karea environment.
This tool changes task data (status field) but the action is reversible: tasks can be reopened or their status changed back. It affects multiple records but lacks the irreversibility of a Destructive action (no deletion/purging). It's a Write operation that updates task state.
From the tool's definition Tool description states 'Mark multiple tasks as done at once' — this modifies task state/status reversibly by marking them complete.
Attacks that exploit this kind of access
Mark multiple tasks as done at once. It is categorised as a Write tool in the Karea MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Karea MCP server in PolicyLayer and add a rule for karea_done: 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 Karea. Nothing to install.
karea_done 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 karea_done 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 karea_done. 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.
karea_done is provided by the Karea MCP server (starecz/karea-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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