AI agents use karea_toggle_requisite 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 modifies the state of a requisite (a dependency or requirement for task closure) by toggling it between complete and incomplete states. This is a reversible write operation that changes data without deleting it or executing arbitrary code.
From the tool's definition Tool description states 'Mark a closing requisite as complete or incomplete', indicating modification of requisite status within the task management system.
Attacks that exploit this kind of access
Mark a closing requisite as complete or incomplete. 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_toggle_requisite: 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_toggle_requisite 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_toggle_requisite 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_toggle_requisite. 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_toggle_requisite 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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