Low Risk

eyepup_ask

Ask a natural-language question about your site visitors. Use this when the user asks 'why are people bouncing from /pricing', 'who's hot right now', 'what changed this week', or any other free-text question about visitor behaviour. Returns an LLM-grounded answer with evidence and ranked actions.

Part of the Eyepup server.

eyepup_ask 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.

SECURE EYEPUP →

Free to start. No card required.

AI agents call eyepup_ask to retrieve information from Eyepup 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 eyepup_ask 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": {
    "eyepup_ask": {}
  }
}

See the full Eyepup policy for all 5 tools.

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

ENFORCE ON MY EYEPUP →

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

Browse the full MCP Attack Database →

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

SECURE EYEPUP →

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

What does the eyepup_ask tool do? +

Ask a natural-language question about your site visitors. Use this when the user asks 'why are people bouncing from /pricing', 'who's hot right now', 'what changed this week', or any other free-text question about visitor behaviour. Returns an LLM-grounded answer with evidence and ranked actions.. It is categorised as a Read tool in the Eyepup MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on eyepup_ask? +

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

What risk level is eyepup_ask? +

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

Can I rate-limit eyepup_ask? +

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

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

eyepup_ask is provided by the Eyepup MCP server (eyepup-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Eyepup tool call.

Deterministic rules across all 5 Eyepup 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.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.