This record as markdown: /tools/airmang-hwpx-mcp-server/plan-edit.md
What plan_edit does on Hwpx
AI agents use plan_edit to create or update resources in Hwpx, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hwpx environment.
Why plan_edit is rated Medium
The tool creates an edit plan rather than executing edits directly, making it primarily a Write operation (it creates/generates content—the plan itself). While it could be preparatory to destructive changes, there is no evidence it directly deletes or irreversibly modifies data. The [고급] (advanced) tag and validation context suggest it produces structured guidance for edits.
From the tool's definition Tool description indicates it generates an 'edit plan' for validation purposes (instruction 기준 검증용 편집 계획을 생성합니다).
Attacks that exploit this kind of access
The rule that runs plan_edit safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Hwpx, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For plan_edit, this is the rule to start with:
plan_edit 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 Hwpx, apply this rule, and every plan_edit call is checked against it from then on.
Questions about plan_edit
[고급] instruction 기준 검증용 편집 계획을 생성합니다. It is categorised as a Write tool in the Hwpx MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Hwpx MCP server in PolicyLayer and add a rule for plan_edit: 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 Hwpx. Nothing to install.
plan_edit 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 plan_edit 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 plan_edit. 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.
plan_edit is provided by the Hwpx MCP server (airmang/hwpx-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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