AI agents call get_scan_findings to retrieve information from N0s1 without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This is a Read operation: it retrieves scan results without side effects. Severity is high because the findings likely contain sensitive information (leaked secrets, credentials), making unauthorized access or misuse risky for an AI agent, even though the operation itself is read-only.
From the tool's definition Tool returns a 'paginated list of findings for a completed scan' — purely retrieves and queries data with no modification or deletion.
Attacks that exploit this kind of access
Return a paginated list of findings for a completed scan. It is categorised as a Read tool in the N0s1 MCP Server, which means it retrieves data without modifying state.
Register the N0s1 MCP server in PolicyLayer and add a rule for get_scan_findings: 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 N0s1. Nothing to install.
get_scan_findings is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_scan_findings 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 get_scan_findings. 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.
get_scan_findings is provided by the N0s1 MCP server (spark1security/n0s1-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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