Recommend next work, summarize operator-chronicle/morning-brief signals, or read prioritization context. USE WHEN: user asks what to do next, wants a brief, asks what changed yesterday/week/30 days, or needs priority guidance. mode=morning_brief returns the operator chronicle when available. NEXT...
AI agents call orgx_recommend 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 |
|---|---|---|---|
mode | string | — | Recommendation mode; default next_action |
limit | integer | — | Maximum recommendations |
period | string | — | Reporting period for mode=morning_brief; default 30d |
_context | object | — | Client context for conversation tracking (strongly recommended for cross-client continuity) |
entity_id | string | — | Scoped entity ID |
session_id | string | — | Optional bootstrap/session identifier |
entity_type | string | — | Recommendation scope type |
workspace_id | string | — | Workspace UUID |
Parameters from the server's own tool schema.
Even though orgx_recommend 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 (24 properties)
Documented attack patterns abuse exactly the kind of access orgx_recommend 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 orgx_recommend:
{
"version": "1",
"default": "deny",
"tools": {
"orgx_recommend": {}
}
}orgx_recommend 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.
Recommend next work, summarize operator-chronicle/morning-brief signals, or read prioritization context. USE WHEN: user asks what to do next, wants a brief, asks what changed yesterday/week/30 days, or needs priority guidance. mode=morning_brief returns the operator chronicle when available. NEXT: present the recommendation, then use orgx_act, orgx_write, or orgx_spawn only after the user confirms an action. DO NOT USE WHEN: the user already specified the action; use orgx_act or orgx_write. It is categorised as a Read tool in the OrgX MCP Server, which means it retrieves data without modifying state.
orgx_recommend accepts 8 parameters: mode, limit, period, _context, entity_id, session_id, entity_type, 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 orgx_recommend: 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.
orgx_recommend 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 orgx_recommend 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 orgx_recommend. 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.
orgx_recommend 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.