Medium Risk

eyepup_log

Log a change you just shipped. The dossier agent reasons about every visitor profiled AFTER this log row, so it can grade whether the friction pattern recovered. CALL THIS after every UX edit.

Risk signalsBulk/mass operation — affects multiple targets

Part of the Eyepup server.

eyepup_log can modify Eyepup data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use eyepup_log to create or modify resources in Eyepup. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call eyepup_log repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Eyepup.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "eyepup_log": {
      "limits": [
        {
          "counter": "eyepup_log_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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.

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These attack patterns abuse exactly the kind of access eyepup_log 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 eyepup_log only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the eyepup_log tool do? +

Log a change you just shipped. The dossier agent reasons about every visitor profiled AFTER this log row, so it can grade whether the friction pattern recovered. CALL THIS after every UX edit.. It is categorised as a Write tool in the Eyepup MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on eyepup_log? +

Register the Eyepup MCP server in PolicyLayer and add a rule for eyepup_log: 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_log? +

eyepup_log is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit eyepup_log? +

Yes. Add a rate_limit block to the eyepup_log 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_log completely? +

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

eyepup_log 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.

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

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