Low Risk

get_bounty_reports

Get real-world bug bounty reports, both accepted and rejected. Use accepted reports for methodology and impact examples. Use rejected reports to understand what NOT to submit.

How to control get_bounty_reports ↓

What get_bounty_reports does on Bug Bounty MCP Server

AI agents call get_bounty_reports to retrieve information from Bug Bounty MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

Why get_bounty_reports needs a policy

This tool retrieves and queries existing bug bounty report data without modifying, executing, or deleting anything. It provides informational access to historical reports to inform security research methodology. While the knowledge base contains security research techniques, the tool itself only reads/retrieves data, making it a Read category tool with low severity risk.

From the tool's definition Tool description states 'Get real-world bug bounty reports' with explicit use cases of reading for 'methodology and impact examples' and understanding rejected reports.

Documented attack patterns abuse exactly the kind of access get_bounty_reports gives an agent:

How to control get_bounty_reports

PolicyLayer is an MCP gateway — it sits between your AI agents and Bug Bounty MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for get_bounty_reports:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_bounty_reports": {}
  }
}

get_bounty_reports is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Bug Bounty MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Related tools and policies

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Questions about get_bounty_reports

What does the get_bounty_reports tool do? +

Get real-world bug bounty reports, both accepted and rejected. Use accepted reports for methodology and impact examples. Use rejected reports to understand what NOT to submit. It is categorised as a Read tool in the Bug Bounty MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_bounty_reports? +

Register the Bug Bounty MCP Server MCP server in PolicyLayer and add a rule for get_bounty_reports: 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 get_bounty_reports? +

get_bounty_reports is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_bounty_reports? +

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

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

get_bounty_reports is provided by the Bug Bounty MCP Server MCP server (r-s0n/rs0n-bug-bounty-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Bug Bounty MCP Server tool call.

Start from Bug Bounty MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

14 Bug Bounty MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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