Medium Risk

charlotte_dev_inject

Inject CSS or JavaScript into the current page for testing modifications without editing files. Returns the page representation with a delta showing changes.

Part of the Charlotte server.

charlotte_dev_inject can modify Charlotte 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 charlotte_dev_inject to create or modify resources in Charlotte. 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 charlotte_dev_inject 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 Charlotte.

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

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

See the full Charlotte policy for all 43 tools.

Get this rule live on your own Charlotte 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 charlotte_dev_inject 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 charlotte_dev_inject 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 charlotte_dev_inject tool do? +

Inject CSS or JavaScript into the current page for testing modifications without editing files. Returns the page representation with a delta showing changes.. It is categorised as a Write tool in the Charlotte MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on charlotte_dev_inject? +

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

What risk level is charlotte_dev_inject? +

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

Can I rate-limit charlotte_dev_inject? +

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

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

charlotte_dev_inject is provided by the Charlotte MCP server (@ticktockbent/charlotte). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Charlotte tool call.

Deterministic rules across all 43 Charlotte tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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