AI agents call dradis_report to retrieve information from Kali without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Dradis is primarily used for aggregating and reporting security assessment findings. A 'dradis_report' tool most likely retrieves or generates reports from existing data, which is a read operation. The empty description and lack of modifying language (no 'create', 'delete', 'execute' verbs) supports this classification. However, the empty description reduces confidence below 0.7.
From the tool's definition Tool name 'dradis_report' suggests report generation/retrieval from Dradis (a security reporting framework). The description is empty, limiting confidence.
Attacks that exploit this kind of access
dradis_report. It is categorised as a Read tool in the Kali MCP Server, which means it retrieves data without modifying state.
Register the Kali MCP server in PolicyLayer and add a rule for dradis_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. Nothing to install.
dradis_report 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 dradis_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 dradis_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.
dradis_report is provided by the Kali MCP server (pentestt00ls/kali-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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