High Risk →

fix_site

Generate complete fix code for all AI visibility issues across AEO, GEO, and Agent Readiness. Returns working code you can apply directly — schema generation, robots.txt, sitemap, llms.txt, meta tags, structured data, citation signals, entity markup. Also returns two-tier score projections: quick...

Accepts URL/endpoint input (url)

Part of the AEO Scanner MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.

aeo-scanner Execute Risk 3/5

AI agents invoke fix_site to trigger processes or run actions in AEO Scanner. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.

fix_site can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.

Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.

aeo-scanner.yaml
tools:
  fix_site:
    rules:
      - action: allow
        rate_limit:
          max: 10
          window: 60
        validate:
          required_args: true

See the full AEO Scanner policy for all 4 tools.

Tool Name fix_site
Category Execute
Risk Level High

Agents calling execute-class tools like fix_site have been implicated in these attack patterns. Read the full case and prevention policy for each:

Browse the full MCP Attack Database →

Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.

fix_site is one of the high-risk operations in AEO Scanner. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.

What does the fix_site tool do? +

Generate complete fix code for all AI visibility issues across AEO, GEO, and Agent Readiness. Returns working code you can apply directly — schema generation, robots.txt, sitemap, llms.txt, meta tags, structured data, citation signals, entity markup. Also returns two-tier score projections: quick wins (critical + high fixes only) and full implementation ceiling (all fixes). Content recommendations include research citations. Run scan_site first to see which issues exist. Requires API key ($5.00 per call). If you get payment_required, tell the user to set AEO_API_KEY.. It is categorised as a Execute tool in the AEO Scanner MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on fix_site? +

Add a rule in your Intercept YAML policy under the tools section for fix_site. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the AEO Scanner MCP server.

What risk level is fix_site? +

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

Can I rate-limit fix_site? +

Yes. Add a rate_limit block to the fix_site rule in your Intercept 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 fix_site completely? +

Set action: deny in the Intercept policy for fix_site. 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 fix_site? +

fix_site is provided by the AEO Scanner MCP server (aeo-scanner). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policies on AEO Scanner

Open source. One binary. Zero dependencies.

npx -y @policylayer/intercept
github.com/policylayer/intercept →
// GET IN TOUCH

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