Surface the next artifact awaiting review. Renders the artifact-review widget with a preview, version filmstrip, and hold-to-approve / request-changes actions. USE WHEN the user asks to review work, approve a deliverable, or handle pending artifact reviews. DO NOT USE for listing all artifacts — ...
AI agents call review_artifact to retrieve information from OrgX without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
_context | object | — | Client context for conversation tracking (strongly recommended for cross-client continuity) |
entity_id | string | — | Scope to artifacts attached to this entity (initiative, workstream, milestone, or task). |
artifact_id | string | — | Specific artifact ID to review. Defaults to the next in_review artifact. |
workspace_id | string | — | Workspace UUID. Defaults to the session workspace. |
Parameters from the server's own tool schema.
Even though review_artifact only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Risk signalsHigh parameter count (20 properties)
Documented attack patterns abuse exactly the kind of access review_artifact gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OrgX, and nothing reaches the server without passing your rules. This is the rule we recommend for review_artifact:
{
"version": "1",
"default": "deny",
"tools": {
"review_artifact": {}
}
}review_artifact is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
Surface the next artifact awaiting review. Renders the artifact-review widget with a preview, version filmstrip, and hold-to-approve / request-changes actions. USE WHEN the user asks to review work, approve a deliverable, or handle pending artifact reviews. DO NOT USE for listing all artifacts — use list_entities type=artifact instead. It is categorised as a Read tool in the OrgX MCP Server, which means it retrieves data without modifying state.
review_artifact accepts 4 parameters: _context, entity_id, artifact_id, workspace_id. The full parameter table on this page comes from the server's own tool schema.
Register the OrgX MCP server in PolicyLayer and add a rule for review_artifact: 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 OrgX. Nothing to install.
review_artifact is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the review_artifact 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 review_artifact. 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.
review_artifact is provided by the OrgX MCP server (useorgx/orgx-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 29 OrgX tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
29 OrgX tools catalogued and risk-classified — across an index of 42,500+ MCP servers.