AI agents use create_report to create or update resources in Kali MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Kali MCP Server environment.
The tool creates or modifies report data (write operation), not merely reading findings or executing code. In the context of a security testing platform, generated reports are new data objects. Severity is medium because report generation itself is reversible and has no destructive or financial impact, but misuse could result in creation of misleading or sensitive documentation.
From the tool's definition Tool name and description indicate it 'Generate[s] a structured report from findings' — a write operation that creates new data artifacts.
Documented attack patterns abuse exactly the kind of access create_report gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Kali MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create_report:
{
"version": "1",
"default": "deny",
"tools": {
"create_report": {
"limits": [
{
"counter": "create_report_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} create_report stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
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Generate a structured report from findings. It is categorised as a Write tool in the Kali MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Kali MCP Server MCP server in PolicyLayer and add a rule for create_report: 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 Kali MCP Server. Nothing to install.
create_report 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_report 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_report. 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_report is provided by the Kali MCP Server MCP server (k3nn3dy-ai/kali-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Kali MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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36 Kali MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.