Medium Risk

add_image

Place a raster or SVG image on the board at (x, y) with explicit width/height in board pixels. data_url MUST be a data:image/(png|jpeg|gif|webp|svg+xml);base64,... string ≤ ~900 kB; hosted URLs are not accepted. Strongly recommended: also pass a tiny thumb_data_url (≤8 kB JPEG/PNG/WebP, ~64 px on...

Risk signalsHigh parameter count (10 properties)

Part of the Cnvs App server.

add_image can modify Cnvs App 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 add_image to create or modify resources in Cnvs App. 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 add_image 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 Cnvs App.

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

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

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These attack patterns abuse exactly the kind of access add_image 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 add_image 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 add_image tool do? +

Place a raster or SVG image on the board at (x, y) with explicit width/height in board pixels. data_url MUST be a data:image/(png|jpeg|gif|webp|svg+xml);base64,... string ≤ ~900 kB; hosted URLs are not accepted. Strongly recommended: also pass a tiny thumb_data_url (≤8 kB JPEG/PNG/WebP, ~64 px on the long edge) — it is embedded into the SVG preview so OTHER AI viewers (and you, on later get_preview calls) can actually see the image instead of a placeholder box.. It is categorised as a Write tool in the Cnvs App MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on add_image? +

Register the Cnvs App MCP server in PolicyLayer and add a rule for add_image: 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 Cnvs App. Nothing to install.

What risk level is add_image? +

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

Can I rate-limit add_image? +

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

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

add_image is provided by the Cnvs App MCP server (https://cnvs.app/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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