start_task
Create/open a task workspace and seed target graph nodes.
This record as markdown: /tools/seac-25-kali-security-mcp/start-task.md
What start_task does on Kali Security MCP
AI agents invoke start_task to trigger actions in Kali Security MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.
Why start_task is rated High
Starts automated security testing workflows against targets; effects depend on subsequent operations.
From the tool's definition Create/open task workspace, seed target graph nodes; initiates penetration testing workflows.
Attacks that exploit this kind of access
The rule that runs start_task safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Kali Security MCP, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For start_task, this is the rule to start with:
start_task stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Kali Security MCP, apply this rule, and every start_task call is checked against it from then on.
Questions about start_task
Create/open a task workspace and seed target graph nodes. It is categorised as a Execute tool in the Kali Security MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kali Security MCP server in PolicyLayer and add a rule for start_task: 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 Security MCP. Nothing to install.
start_task is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the start_task 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 start_task. 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.
start_task is provided by the Kali Security MCP server (seac-25/kali-security-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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