select_tools · Bug Bounty MCP Server MCP: Risk & Policy

WHAT IT DOES

What select_tools does on Bug Bounty MCP Server

AI agents invoke select_tools to trigger actions in Bug Bounty MCP Server. 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 IT NEEDS A POLICY

Why select_tools needs a policy

This tool performs AI-driven selection and orchestration of security tools based on a target profile. In the context of a bug bounty server with sibling tools like amass_scan, arjun_parameter_discovery, vulnerability hunting, and attack chain creation, 'selecting tools' implies triggering or dispatching active security operations against targets.

From the tool's definition AI-powered tool selection based on target profile

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

select_tools Rate-limited

select_tools 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "select_tools": {
      "limits": [
        {
          "counter": "select_tools_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Bug Bounty MCP Server, so you can run agents against it safely.

FAQ

Questions about select_tools

What does the select_tools tool do? +

AI-powered tool selection based on target profile. It is categorised as a Execute tool in the Bug Bounty MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on select_tools? +

Register the Bug Bounty MCP Server MCP server in PolicyLayer and add a rule for select_tools: 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 Bug Bounty MCP Server. Nothing to install.

What risk level is select_tools? +

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

Can I rate-limit select_tools? +

Yes. Add a rate_limit block to the select_tools 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 select_tools completely? +

Set action: deny in the PolicyLayer policy for select_tools. 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 select_tools? +

select_tools is provided by the Bug Bounty MCP Server MCP server (slanycukr/bugbounty-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.