Medium Risk

refine_interface

Use to refine a previously generated Gravity AI UI composed payload with a natural-language instruction. This does not save or publish the result.

Risk signalsAccepts raw HTML/template content (payload)

Part of the Gravity AI UI server.

refine_interface can modify Gravity AI UI 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 refine_interface to create or modify resources in Gravity AI UI. 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 refine_interface 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 Gravity AI UI.

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

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

See the full Gravity AI UI policy for all 4 tools.

Get this rule live on your own Gravity AI UI 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 refine_interface 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 refine_interface 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 refine_interface tool do? +

Use to refine a previously generated Gravity AI UI composed payload with a natural-language instruction. This does not save or publish the result.. It is categorised as a Write tool in the Gravity AI UI MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on refine_interface? +

Register the Gravity AI UI MCP server in PolicyLayer and add a rule for refine_interface: 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 Gravity AI UI. Nothing to install.

What risk level is refine_interface? +

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

Can I rate-limit refine_interface? +

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

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

refine_interface is provided by the Gravity AI UI MCP server (https://gravity-ai.ydb-qdrant.tech/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gravity AI UI tool call.

Deterministic rules across all 4 Gravity AI UI 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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