Create a new document.
AI agents use create_document to create or update resources in ERPNext MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your ERPNext MCP Server environment.
This tool creates new documents in an ERPNext instance. Creation is reversible (documents can be deleted or cancelled via sibling tools), so it falls under Write rather than Destructive.
From the tool's definition Tool name 'create_document' and description 'Create a new document' indicate data creation. ERPNext context confirms this creates new records in an ERP system.
Attacks that exploit this kind of access
Create a new document. It is categorised as a Write tool in the ERPNext MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the ERPNext MCP Server MCP server in PolicyLayer and add a rule for create_document: 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 ERPNext MCP Server. Nothing to install.
create_document 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 create_document 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 create_document. 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.
create_document is provided by the ERPNext MCP Server MCP server (yazelin/erpnext-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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