Update a draft order in
AI agents use update_draft_order to create or update resources in Sapo — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Sapo environment.
This tool modifies an existing draft order entity within the e-commerce platform, which is a Write operation. The severity is medium because: (1) the modification is reversible (draft orders have not been committed/finalized), (2) blast radius is limited to a single order's draft state, and (3) no financial, destructive, or code-execution implications are present.
From the tool's definition Tool name 'update_draft_order' and description 'Update a draft order' indicate modification of existing data. The action is reversible (drafts can be re-edited or discarded before finalization).
Documented attack patterns abuse exactly the kind of access update_draft_order gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Sapo, and nothing reaches the server without passing your rules. This is the rule we recommend for update_draft_order:
{
"version": "1",
"default": "deny",
"tools": {
"update_draft_order": {
"limits": [
{
"counter": "update_draft_order_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} update_draft_order 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.
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Update a draft order in. It is categorised as a Write tool in the Sapo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Sapo MCP server in PolicyLayer and add a rule for update_draft_order: 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 Sapo. Nothing to install.
update_draft_order is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the update_draft_order 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 update_draft_order. 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.
update_draft_order is provided by the Sapo MCP server (nguyennguyenit/sapo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Sapo, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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93 Sapo tools catalogued and risk-classified — across an index of 43,000+ MCP servers.