upscale_fast
AI agents invoke upscale_fast to trigger actions in Bedrock Image. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
The tool name 'upscale_fast' suggests it upscales (enlarges/enhances) an image, likely using Stability AI on AWS Bedrock. This is an external operation that triggers a model inference call.
From the tool's definition Tool name: upscale_fast; description is empty. Sibling tools include generate_image, edit, and manipulate images using Stability AI models on AWS Bedrock.
Attacks that exploit this kind of access
upscale_fast. It is categorised as a Execute tool in the Bedrock Image MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Bedrock Image MCP server in PolicyLayer and add a rule for upscale_fast: 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 Bedrock Image. Nothing to install.
upscale_fast is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the upscale_fast 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 upscale_fast. 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.
upscale_fast is provided by the Bedrock Image MCP server (yaksh36/mcp-server-bedrock-image). 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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