legalpass_edit_item
Apply a human reviewer override to a LegalPass item and return an audit entry with before/after state.
This record as markdown: /tools/io-github-malamutemayhem-unclick-mcp-server/legalpass-edit-item.md
What legalpass_edit_item does on UnClick
AI agents use legalpass_edit_item to create or update resources in UnClick, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your UnClick environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
notes | string | — | Alias for reviewer_note, for TestPass-style callers |
run_id | string | Yes | The LegalPass run id returned by legalpass_run |
finding | string | — | Replacement finding text, linted by PassGuard |
item_id | string | Yes | The LegalPass item id to edit |
verdict | string | — | Reviewer override verdict |
actor_user_id | string | — | Optional actor id for the override audit entry |
reviewer_note | string | — | Human reviewer note for the audit trail, linted by PassGuard |
on_fail_comment | string | — | Replacement fail comment, linted by PassGuard |
Parameters from the server's own tool schema.
Why legalpass_edit_item is rated Medium
This tool modifies data (LegalPass item state) reversibly through an override mechanism. While it creates audit records (evidence of change), the primary function is to alter existing item state, making it a Write operation. Severity is high because LegalPass items likely contain sensitive legal/compliance information; unauthorized edits could compromise legal compliance or create fraudulent audit trails.
From the tool's definition 'Apply a human reviewer override to a LegalPass item and return an audit entry with before/after state' — the tool modifies ('edit') an item's state with reviewer authority, creating an audit trail of changes.
Attacks that exploit this kind of access
The rule that runs legalpass_edit_item safely
PolicyLayer is an MCP gateway: it sits between your AI agents and UnClick, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For legalpass_edit_item, this is the rule to start with:
legalpass_edit_item 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 UnClick, apply this rule, and every legalpass_edit_item call is checked against it from then on.
Questions about legalpass_edit_item
Apply a human reviewer override to a LegalPass item and return an audit entry with before/after state. It is categorised as a Write tool in the UnClick MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
legalpass_edit_item accepts 8 parameters: notes, run_id, finding, item_id, verdict, actor_user_id, reviewer_note, on_fail_comment. Required: run_id, item_id. The full parameter table on this page comes from the server's own tool schema.
Register the UnClick MCP server in PolicyLayer and add a rule for legalpass_edit_item: 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 UnClick. Nothing to install.
legalpass_edit_item 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 legalpass_edit_item 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 legalpass_edit_item. 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.
legalpass_edit_item is provided by the UnClick MCP server (@unclick/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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