AI agents call multi_image_to_3d_list to retrieve information from Meshy without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The 'list' operation retrieves and queries existing multi-image-to-3D task data without modifying, deleting, or executing external operations. This is a standard Read category tool with minimal blast radius if misused by an AI agent.
From the tool's definition Tool name 'multi_image_to_3d_list' and description 'List multi-image-to-3D tasks' indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
List multi-image-to-3D tasks. It is categorised as a Read tool in the Meshy MCP Server, which means it retrieves data without modifying state.
Register the Meshy MCP server in PolicyLayer and add a rule for multi_image_to_3d_list: 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 Meshy. Nothing to install.
multi_image_to_3d_list 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 multi_image_to_3d_list 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 multi_image_to_3d_list. 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.
multi_image_to_3d_list is provided by the Meshy MCP server (meshy-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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