Medium Risk

recommend_icons

Recommend a coherent icon set for named UI slots in a product, app, dashboard, or navigation flow. Use this when the user needs several icons that should work together. Returns one recommendation and optional alternatives for each slot.

Part of the Supericons server.

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

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Free to start. No card required.

AI agents use recommend_icons to create or modify resources in Supericons. 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 recommend_icons 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 Supericons.

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

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

See the full Supericons policy for all 4 tools.

Get this rule live on your own Supericons 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 recommend_icons 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 recommend_icons 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 recommend_icons tool do? +

Recommend a coherent icon set for named UI slots in a product, app, dashboard, or navigation flow. Use this when the user needs several icons that should work together. Returns one recommendation and optional alternatives for each slot.. It is categorised as a Write tool in the Supericons MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on recommend_icons? +

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

What risk level is recommend_icons? +

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

Can I rate-limit recommend_icons? +

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

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

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

Enforce policy on every Supericons tool call.

Deterministic rules across all 4 Supericons 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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