Medium Risk

create_snapshot

Create a manual config snapshot of a workflow's current state. Use this to save a checkpoint before making changes, so you can restore later if needed. Enforces plan-based limits (Pro=2, Teams=10, Custom=50). Returns an error with limit info if the snapshot limit is reached — delete old snapshots...

Part of the Agentled server.

create_snapshot can modify Agentled data, with no limits today. PolicyLayer puts allow, deny, and rate-limit rules on every call. Live in minutes.

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AI agents use create_snapshot to create or modify resources in Agentled. Write operations carry medium risk because an autonomous agent could trigger bulk unintended modifications. Rate limits prevent a single agent session from making hundreds of changes in rapid succession. Argument validation ensures the agent passes expected values.

Without a policy, an AI agent could call create_snapshot repeatedly, creating or modifying resources faster than any human could review. PolicyLayer's rate limiting ensures write operations happen at a controlled pace, and argument validation catches malformed or unexpected inputs before they reach Agentled.

Write tools can modify data. A rate limit prevents runaway bulk operations from AI agents.

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

See the full Agentled policy for all 119 tools.

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These attack patterns abuse exactly the kind of access create_snapshot gives an agent. Each links to the full case and the policy that stops it:

Browse the full MCP Attack Database →

Every attack above starts with a tool call. PolicyLayer checks each one against your policy first, so create_snapshot only ever does what you allow.

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Other write tools across the catalogue. The same approach applies to each: rate-limit and validate the arguments.

What does the create_snapshot tool do? +

Create a manual config snapshot of a workflow's current state. Use this to save a checkpoint before making changes, so you can restore later if needed. Enforces plan-based limits (Pro=2, Teams=10, Custom=50). Returns an error with limit info if the snapshot limit is reached — delete old snapshots first to free up space.. It is categorised as a Write tool in the Agentled MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_snapshot? +

Register the Agentled MCP server in PolicyLayer and add a rule for create_snapshot: 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 Agentled. Nothing to install.

What risk level is create_snapshot? +

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

Can I rate-limit create_snapshot? +

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

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

create_snapshot is provided by the Agentled MCP server (@agentled/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 Agentled tool call.

Deterministic rules across all 119 Agentled tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

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