New Your team’s decisions, in one playbook every coding agent works from. Never answer your agent twice

fast_reconnaissance

执行快速侦察工作流。

SERVERKali Security MCP SOURCEseac-25/kali-security-mcp
High RISK CLASS
Category Execute
Parameters 00 required
Recommended Rate-limitedsee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/seac-25-kali-security-mcp/fast-reconnaissance.md

What fast_reconnaissance does on Kali Security MCP

AI agents invoke fast_reconnaissance 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 fast_reconnaissance is rated High

Reconnaissance workflows actively scan, probe, and query external targets using Kali Linux tools (e.g., nmap, recon-ng). This is not a passive read — it triggers automated external network operations against targets. On a penetration testing platform, misuse could expose unauthorized scanning of systems, making it Execute with high severity.

From the tool's definition 'fast_reconnaissance' on a server integrating 193 Kali Linux security tools for 'penetration testing' and 'vulnerability assessment through automated workflows' — description translates to 'Execute fast reconnaissance workflow'

Questions about fast_reconnaissance

What does the fast_reconnaissance tool do? +

执行快速侦察工作流。. 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.

How do I enforce a policy on fast_reconnaissance? +

Register the Kali Security MCP server in PolicyLayer and add a rule for fast_reconnaissance: 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.

What risk level is fast_reconnaissance? +

fast_reconnaissance is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit fast_reconnaissance? +

Yes. Add a rate_limit block to the fast_reconnaissance 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.

How do I block fast_reconnaissance completely? +

Set action: deny in the PolicyLayer policy for fast_reconnaissance. 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.

What MCP server provides fast_reconnaissance? +

fast_reconnaissance 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.

More on Kali Security, and thousands of servers like it.

// THE MCP REGISTRY

PolicyLayer tracks 44,603 MCP servers and 515,000+ tools.

Every server has a live record: who publishes it, whether it answers without auth, its risk grade, every tool classified, the recommended policy. This page is one line of Kali Security's. Pull the full record:

Teams ship this data inside their own products. See what a licence covers →

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.