Low Risk

ai_visibility_check

Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass _apiKey to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, con...

Part of the Nationalize server.

ai_visibility_check is read-only, but an agent in a loop can still rack up calls and cost. PolicyLayer caps every call before it runs. Live in minutes.

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AI agents call ai_visibility_check to retrieve information from Nationalize without modifying any data. This is common in research, monitoring, and reporting workflows where the agent needs context before taking action. Because read operations don't change state, they are generally safe to allow without restrictions -- but you may still want rate limits to control API costs.

Even though ai_visibility_check only reads data, uncontrolled read access can leak sensitive information or rack up API costs. An agent caught in a retry loop could make thousands of calls per minute. A rate limit gives you a safety net without blocking legitimate use.

Read-only tools are safe to allow by default. No rate limit needed unless you want to control costs.

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

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Get this rule live on your own Nationalize server in minutes. PolicyLayer enforces it on every call, before it runs.

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These attack patterns abuse exactly the kind of access ai_visibility_check gives an agent. Each links to the full case and the policy that stops it:

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Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so ai_visibility_check only ever does what you allow.

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Other read tools across the catalogue. The same approach applies to each: allow, with a rate cap to control cost.

What does the ai_visibility_check tool do? +

Probe one or more LLMs for what they know about a business / brand / product / topic and score visibility (0-100) per model. Default model is Workers AI Llama-3.3-70b (free); pass _apiKey to also probe Anthropic (BYO key — you pay Anthropic directly for those calls). Returns per-model {score, confidence, signals, raw_response} + a combined view. Useful for AI-marketing audits, pre-launch brand checks, competitive monitoring.. It is categorised as a Read tool in the Nationalize MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on ai_visibility_check? +

Register the Nationalize MCP server in PolicyLayer and add a rule for ai_visibility_check: 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 Nationalize. Nothing to install.

What risk level is ai_visibility_check? +

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

Can I rate-limit ai_visibility_check? +

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

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

ai_visibility_check is provided by the Nationalize MCP server (https://gateway.pipeworx.io/nationalize/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Nationalize tool call.

Deterministic rules across all 22 Nationalize tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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