agent_run
A execute tool on the Kali Security MCP server.
This record as markdown: /tools/seac-25-kali-security-mcp/agent-run.md
What agent_run does on Kali Security MCP
AI agents invoke agent_run 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 agent_run is rated High
Tool likely executes arbitrary security operations given server context and empty description; high misuse risk.
From the tool's definition uninformative description; sibling tools execute penetration testing, injection attacks, and automated workflows
Attacks that exploit this kind of access
The rule that runs agent_run 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 agent_run, this is the rule to start with:
agent_run 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 agent_run call is checked against it from then on.
Questions about agent_run
agent_run is a execute tool on the Kali Security MCP server. 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 agent_run: 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.
agent_run 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 agent_run 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 agent_run. 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.
agent_run 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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