Medium Risk

match_theme

Recommend the best MantleKit theme for a product type, audience, and brand direction.

Part of the MantleKit Launch Planner server.

match_theme can modify MantleKit Launch Planner 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 match_theme to create or modify resources in MantleKit Launch Planner. 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 match_theme 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 MantleKit Launch Planner.

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

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

See the full MantleKit Launch Planner policy for all 4 tools.

Get this rule live on your own MantleKit Launch Planner 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 match_theme 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 match_theme 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 match_theme tool do? +

Recommend the best MantleKit theme for a product type, audience, and brand direction.. It is categorised as a Write tool in the MantleKit Launch Planner MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on match_theme? +

Register the MantleKit Launch Planner MCP server in PolicyLayer and add a rule for match_theme: 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 MantleKit Launch Planner. Nothing to install.

What risk level is match_theme? +

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

Can I rate-limit match_theme? +

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

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

match_theme is provided by the MantleKit Launch Planner MCP server (https://mcp.mantlekit.dev/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MantleKit Launch Planner tool call.

Deterministic rules across all 4 MantleKit Launch Planner 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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