Low Risk

retrieve_remesh_task

Retrieve the status and result of a remesh task.

How to control retrieve_remesh_task ↓

AI agents call retrieve_remesh_task to retrieve information from Meshy AI MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

Low Risk

This tool retrieves status and results of an already-created remesh task. It is a read-only operation that queries task state. No data is created, modified, deleted, or executed. The maximum harm from misuse would be unauthorized information disclosure of a user's remesh task details, which is low severity. Confidence is high because the description clearly indicates retrieval without side effects.

From the tool's definition Tool name 'retrieve_remesh_task' and description 'Retrieve the status and result of a remesh task' indicate a query/fetch operation that retrieves existing task data without modifying, deleting, or executing external operations.

Documented attack patterns abuse exactly the kind of access retrieve_remesh_task gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Meshy AI MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for retrieve_remesh_task:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "retrieve_remesh_task": {}
  }
}

retrieve_remesh_task is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Meshy AI MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
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Go deeper

What does the retrieve_remesh_task tool do? +

Retrieve the status and result of a remesh task. It is categorised as a Read tool in the Meshy AI MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on retrieve_remesh_task? +

Register the Meshy AI MCP Server MCP server in PolicyLayer and add a rule for retrieve_remesh_task: 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 AI MCP Server. Nothing to install.

What risk level is retrieve_remesh_task? +

retrieve_remesh_task is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit retrieve_remesh_task? +

Yes. Add a rate_limit block to the retrieve_remesh_task 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.

How do I block retrieve_remesh_task completely? +

Set action: deny in the PolicyLayer policy for retrieve_remesh_task. 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.

What MCP server provides retrieve_remesh_task? +

retrieve_remesh_task is provided by the Meshy AI MCP Server MCP server (pasie15/meshy-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Meshy AI MCP Server tool call.

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51 Meshy AI MCP Server tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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