editor_patch_preview
Verify and preview live bytes; can_apply is false and no mutation token is issued.
This record as markdown: /tools/010-editor-mcp/editor-patch-preview.md
What editor_patch_preview does on 010 Editor
AI agents use editor_patch_preview to create or update resources in 010 Editor, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your 010 Editor environment.
Why editor_patch_preview is rated Medium
An AI agent can call editor_patch_preview faster than any human can review: one bad instruction and it creates or modifies resources in 010 Editor by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs editor_patch_preview safely
PolicyLayer is an MCP gateway: it sits between your AI agents and 010 Editor, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For editor_patch_preview, this is the rule to start with:
editor_patch_preview 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.
The button opens the PolicyLayer dashboard: create your workspace, connect 010 Editor, apply this rule, and every editor_patch_preview call is checked against it from then on.
Questions about editor_patch_preview
Verify and preview live bytes; can_apply is false and no mutation token is issued. It is categorised as a Write tool in the 010 Editor MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the 010 Editor MCP server in PolicyLayer and add a rule for editor_patch_preview: 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 010 Editor. Nothing to install.
editor_patch_preview 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 editor_patch_preview 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 editor_patch_preview. 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.
editor_patch_preview is provided by the 010 Editor MCP server (AuroraAeon/010-editor-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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