remove_object
AI agents invoke remove_object 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.
Based on the server context (image generation/editing via Amazon Bedrock) and sibling tools (inpaint_image, outpaint_image, remove_background, search_and_recolor), remove_object likely performs an image editing operation that removes an object from an image, potentially using inpainting. This is an Execute-level operation as it triggers an external AI service to process/modify an image.
From the tool's definition Tool name: remove_object; description is empty and uninformative
Attacks that exploit this kind of access
remove_object. 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 remove_object: 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.
remove_object 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 remove_object 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 remove_object. 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.
remove_object is provided by the Bedrock Image MCP server (kalleeh/bedrock-image-mcp-server). 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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