This record as markdown: /tools/ruflo/report-vuln.md
What report_vuln does on Ruflo
AI agents use report_vuln to create or update resources in Ruflo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Ruflo environment.
Why report_vuln is rated Medium
The tool generates (creates) a vulnerability report, which is a Write operation producing a new document or record. It does not appear to execute code, delete data, or move money. Severity is medium because in an agentic multi-agent harness, a fabricated or misleading vulnerability report could trigger harmful downstream remediation actions.
From the tool's definition "Generate vulnerability report" — creates a report artifact
Attacks that exploit this kind of access
The rule that runs report_vuln safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For report_vuln, this is the rule to start with:
report_vuln stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every report_vuln call is checked against it from then on.
Questions about report_vuln
Generate vulnerability report. It is categorised as a Write tool in the Ruflo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Ruflo MCP server in PolicyLayer and add a rule for report_vuln: 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 Ruflo. Nothing to install.
report_vuln is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the report_vuln 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 report_vuln. 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.
report_vuln is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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