AI agents use onboard_agent to create or update resources in Kontexta — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kontexta environment.
This tool creates or modifies workflow rules—configuration data that persists and affects subsequent operations. It is reversible (updates can be undone via git in this git-backed system), placing it in Write rather than Destructive.
From the tool's definition Tool description states it will 'Write or update the kontexta workflow rules block in a project', which modifies configuration that controls agent behavior and execution.
Attacks that exploit this kind of access
Write or update the kontexta workflow rules block in a project. It is categorised as a Write tool in the Kontexta MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kontexta MCP server in PolicyLayer and add a rule for onboard_agent: 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 Kontexta. Nothing to install.
onboard_agent 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 onboard_agent 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 onboard_agent. 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.
onboard_agent is provided by the Kontexta MCP server (safiyu/kontexta). 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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