Low Risk

list_content_gaps

List AI-generated content suggestions (FAQs, differentiators, use cases, about copy) the signed-in user can publish to close visibility gaps found in their latest scan.

Part of the Ninar AI server.

list_content_gaps 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 list_content_gaps to retrieve information from Ninar AI 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 list_content_gaps 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": {
    "list_content_gaps": {}
  }
}

See the full Ninar AI policy for all 5 tools.

Get this rule live on your own Ninar AI 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 list_content_gaps 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 list_content_gaps 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 list_content_gaps tool do? +

List AI-generated content suggestions (FAQs, differentiators, use cases, about copy) the signed-in user can publish to close visibility gaps found in their latest scan.. It is categorised as a Read tool in the Ninar AI MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on list_content_gaps? +

Register the Ninar AI MCP server in PolicyLayer and add a rule for list_content_gaps: 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 Ninar AI. Nothing to install.

What risk level is list_content_gaps? +

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

Can I rate-limit list_content_gaps? +

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

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

list_content_gaps is provided by the Ninar AI MCP server (https://ninar.ai/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Ninar AI tool call.

Deterministic rules across all 5 Ninar AI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

4,600+ MCP servers and 31,000+ tools scanned and risk-classified.

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