analyze_report · N0s1 MCP: Risk & Policy

WHAT IT DOES

What analyze_report does on N0s1

AI agents invoke analyze_report to trigger actions in N0s1. 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 analyze_report needs a policy

The tool executes an asynchronous AI process (credential validation) on existing data. It does not merely read results; it initiates or advances an active operation whose effects depend on the report contents. Since it involves validating leaked credentials, misuse could expose sensitive credential information or trigger unintended external checks, warranting high severity.

From the tool's definition 'Submit or advance async AI credential validation' — triggers an external AI-driven validation operation against a previously uploaded scan report

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

analyze_report Rate-limited

analyze_report 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": {
    "analyze_report": {
      "limits": [
        {
          "counter": "analyze_report_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 N0s1, so you can run agents against it safely.

FAQ

Questions about analyze_report

What does the analyze_report tool do? +

Submit or advance async AI credential validation for a previously uploaded scan report. It is categorised as a Execute tool in the N0s1 MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on analyze_report? +

Register the N0s1 MCP server in PolicyLayer and add a rule for analyze_report: 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.

What risk level is analyze_report? +

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

Can I rate-limit analyze_report? +

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

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

analyze_report 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.