AI agents use karea_share_project 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.
Sharing a project modifies project metadata and access permissions reversibly—the share can be undone. This is a write operation rather than read (queries data only), execute (runs code/commands), destructive (irreversible deletion), or financial (money movement).
From the tool's definition Tool name 'karea_share_project' and description 'Share a project with another user' indicate modification of project access permissions, which is a write operation that creates or modifies data (access control list entries).
Attacks that exploit this kind of access
Share a project with another user. 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_share_project: 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_share_project 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_share_project 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_share_project. 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_share_project 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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