bugbounty_reconnaissance_workflow
A execute tool on the Intellirecon Console MCP server.
This record as markdown: /tools/intellirecon-console/bugbounty-reconnaissance-workflow.md
What bugbounty_reconnaissance_workflow does on Intellirecon Console
AI agents invoke bugbounty_reconnaissance_workflow to trigger actions in Intellirecon Console. 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 bugbounty_reconnaissance_workflow is rated High
The tool name implies an automated reconnaissance workflow for bug bounty hunting. Based on sibling tools (amass_scan, ai_reconnaissance_workflow, ai_test_payload), this likely executes multi-step automated scanning and probing operations against external targets.
From the tool's definition Tool name 'bugbounty_reconnaissance_workflow' combined with server context describing 'MCP security tools' and sibling tools like 'ai_reconnaissance_workflow', 'advanced_payload_generation', 'ai_generate_attack_suite', 'amass_scan'
Attacks that exploit this kind of access
The rule that runs bugbounty_reconnaissance_workflow safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Intellirecon Console, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For bugbounty_reconnaissance_workflow, this is the rule to start with:
bugbounty_reconnaissance_workflow 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 Intellirecon Console, apply this rule, and every bugbounty_reconnaissance_workflow call is checked against it from then on.
Questions about bugbounty_reconnaissance_workflow
bugbounty_reconnaissance_workflow is a execute tool on the Intellirecon Console MCP server. It is categorised as a Execute tool in the Intellirecon Console MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Intellirecon Console MCP server in PolicyLayer and add a rule for bugbounty_reconnaissance_workflow: 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 Intellirecon Console. Nothing to install.
bugbounty_reconnaissance_workflow 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 bugbounty_reconnaissance_workflow 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 bugbounty_reconnaissance_workflow. 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.
bugbounty_reconnaissance_workflow is provided by the Intellirecon Console MCP server (dokotela021/intellirecon-console). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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