Medium Risk

auto_save

Save the project to its current path.

How to control auto_save ↓

What auto_save does on Metashape MCP Server

AI agents use auto_save to create or update resources in Metashape MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Metashape MCP Server environment.

Medium Risk

Why auto_save needs a policy

This tool creates or modifies data (the saved project file) in a reversible manner—the operation can be undone by reverting to a previous version or not executing the save. It does not irreversibly delete data (Destructive), move money (Financial), or execute arbitrary external commands (Execute). While it persists state, it is a standard write operation.

From the tool's definition Tool name 'auto_save' and description 'Save the project to its current path' indicates the tool modifies the project state by persisting data to storage.

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

How to control auto_save

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

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "auto_save": {
      "limits": [
        {
          "counter": "auto_save_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

auto_save stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Metashape 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.
LIMIT THIS TOOL →

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Related tools and policies

Go deeper

Questions about auto_save

What does the auto_save tool do? +

Save the project to its current path. It is categorised as a Write tool in the Metashape MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on auto_save? +

Register the Metashape MCP Server MCP server in PolicyLayer and add a rule for auto_save: 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 Metashape MCP Server. Nothing to install.

What risk level is auto_save? +

auto_save is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit auto_save? +

Yes. Add a rate_limit block to the auto_save 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 auto_save completely? +

Set action: deny in the PolicyLayer policy for auto_save. 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 auto_save? +

auto_save is provided by the Metashape MCP Server MCP server (jenkinsm13/metashape-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Metashape MCP Server tool call.

Start from Metashape MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

112 Metashape MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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