Detect PNG exports whose content is sliced/cut off at the bottom edge (e.g. a Figma export that ended mid-form). Dimension/ratio checks cannot catch cut content inside a correctly-sized file; this measures per-pixel luminance variance in the bottom strip — uniform background = clean, high-varianc...
AI agents call audit_asset_integrity to retrieve information from Raven without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
image_paths | array | Yes | Filesystem paths to PNG files to check for sliced/cut-off bottom content. |
Parameters from the server's own tool schema.
This tool performs analysis and auditing of design assets without side effects. It reads pixel data to validate asset quality, comparable to other audit_* tools on the server (audit_content, audit_layout, etc.). There is no data modification, execution of external code, or destructive action.
From the tool's definition Tool analyzes PNG files for content integrity by measuring 'per-pixel luminance variance' and checking if UI content is sliced off.
Attacks that exploit this kind of access
Detect PNG exports whose content is sliced/cut off at the bottom edge (e.g. a Figma export that ended mid-form). Dimension/ratio checks cannot catch cut content inside a correctly-sized file; this measures per-pixel luminance variance in the bottom strip — uniform background = clean, high-variance UI content running into the edge = likely-sliced. Accepts filesystem paths to PNGs. It is categorised as a Read tool in the Raven MCP Server, which means it retrieves data without modifying state.
audit_asset_integrity accepts 1 parameter: image_paths. Required: image_paths. The full parameter table on this page comes from the server's own tool schema.
Register the Raven MCP server in PolicyLayer and add a rule for audit_asset_integrity: 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 Raven. Nothing to install.
audit_asset_integrity is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the audit_asset_integrity 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.
Set action: deny in the PolicyLayer policy for audit_asset_integrity. 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.
audit_asset_integrity is provided by the Raven MCP server (raven-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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