AI agents call karea_list_tasks to retrieve information from Karea without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a straightforward query/retrieval operation that returns task information without side effects. The tool filters and displays data (defaulting to open tasks, capped at 200) but does not create, modify, delete, or execute any operations. The lowest severity reflects minimal blast radius—misuse would at worst expose task information the user already has permission to access.
From the tool's definition Tool name is 'karea_list_tasks' and description states it 'List tasks in a project' with filtering options. No data modification, deletion, or execution occurs—it only retrieves and queries existing task data.
Attacks that exploit this kind of access
List tasks in a project. Defaults to open tasks (open, in_progress, blocked, review, backlog) capped at 200 to keep responses small. To see closed tasks pass status=. It is categorised as a Read tool in the Karea MCP Server, which means it retrieves data without modifying state.
Register the Karea MCP server in PolicyLayer and add a rule for karea_list_tasks: 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_list_tasks is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the karea_list_tasks 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_list_tasks. 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_list_tasks 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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