Medium Risk

eyepup_todo

Get the top friction patterns ranked by impact score. Use BEFORE making any UX edit — the highest-impact pattern is usually a more valuable fix than whatever the user just asked about. Each row carries a paste-ready recommended_action.

Part of the Eyepup server.

eyepup_todo 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_todo 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_todo 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_todo": {
      "limits": [
        {
          "counter": "eyepup_todo_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_todo 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_todo 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_todo tool do? +

Get the top friction patterns ranked by impact score. Use BEFORE making any UX edit — the highest-impact pattern is usually a more valuable fix than whatever the user just asked about. Each row carries a paste-ready recommended_action.. 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_todo? +

Register the Eyepup MCP server in PolicyLayer and add a rule for eyepup_todo: 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_todo? +

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

Can I rate-limit eyepup_todo? +

Yes. Add a rate_limit block to the eyepup_todo 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_todo completely? +

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

eyepup_todo 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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