AI agents use create_job_stage to create or update resources in Kula Ai — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kula Ai environment.
This tool creates a new recruiting pipeline stage, which is a reversible data modification. It does not delete data (not Destructive), does not execute arbitrary code (not Execute), does not move money (not Financial), and does not merely retrieve data (not Read).
From the tool's definition Tool name 'create_job_stage' and description 'Create a new pipeline stage for a job' indicate a create operation that adds a new stage to a recruiting pipeline.
Attacks that exploit this kind of access
Create a new pipeline stage for a job. It is categorised as a Write tool in the Kula Ai MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kula Ai MCP server in PolicyLayer and add a rule for create_job_stage: 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 Kula Ai. Nothing to install.
create_job_stage 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 create_job_stage 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 create_job_stage. 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.
create_job_stage is provided by the Kula Ai MCP server (kula-ai/kula-mcp-server). 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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