Check the status and progress of any Meshy generation task. Returns current status (PENDING, IN_PROGRESS, SUCCEEDED, FAILED), progress percentage, and download links once complete. Use this when you started a task with wait_for_completion: false, or to check on a previously started generation.
AI agents call check_task_status 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.
Even though check_task_status only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
Check the status and progress of any Meshy generation task. Returns current status (PENDING, IN_PROGRESS, SUCCEEDED, FAILED), progress percentage, and download links once complete. Use this when you started a task with wait_for_completion: false, or to check on a previously started generation. 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 check_task_status: 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.
check_task_status 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 check_task_status 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 check_task_status. 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.
check_task_status is provided by the Meshy MCP server (zyadhajaji/meshy-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.