booking_update_status
Advance a session through the Servicialo lifecycle: confirm, start, complete, or mark as no-show. NOTE: the "deliver" action is NOT available via MCP (ref PDC-SEC-001) — MCP authentication cannot validate actor-as-Proveedor. Delivery must be performed via the REST endpoint PATCH /api/organization...
This record as markdown: /tools/com-servicialo-mcp-server/booking-update-status.md
What booking_update_status does on Servicialo
AI agents use booking_update_status to create or update resources in Servicialo, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Servicialo environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
notes | string | — | |
action | string | Yes | |
apiKey | string | — | |
orgSlug | string | Yes | |
sessionId | string | Yes | |
noShowType | string | — | |
deliveryType | string | — |
Parameters from the server's own tool schema.
Why booking_update_status is rated Medium
This tool creates or modifies booking/session data reversibly without permanent deletion. While it affects professional service delivery workflows and could cause business disruption if misused (confirming sessions the user shouldn't confirm, or marking sessions as no-show), the modifications are not destructive—they can be corrected by re-updating the status.
From the tool's definition Tool description states it can "advance a session through the Servicialo lifecycle: confirm, start, complete, or mark as no-show." These are state transitions that modify booking records reversibly.
Risk signalsHandles credentials or secrets (apiKey)
Attacks that exploit this kind of access
The rule that runs booking_update_status safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Servicialo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For booking_update_status, this is the rule to start with:
booking_update_status 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 Servicialo, apply this rule, and every booking_update_status call is checked against it from then on.
Questions about booking_update_status
Advance a session through the Servicialo lifecycle: confirm, start, complete, or mark as no-show. NOTE: the "deliver" action is NOT available via MCP (ref PDC-SEC-001) — MCP authentication cannot validate actor-as-Proveedor. Delivery must be performed via the REST endpoint PATCH /api/organizations/[orgSlug]/coordinalo/sessions/[sessionId]/deliver which enforces provider binding. It is categorised as a Write tool in the Servicialo MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
booking_update_status accepts 7 parameters: notes, action, apiKey, orgSlug, sessionId, noShowType, deliveryType. Required: action, orgSlug, sessionId. The full parameter table on this page comes from the server's own tool schema.
Register the Servicialo MCP server in PolicyLayer and add a rule for booking_update_status: 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 Servicialo. Nothing to install.
booking_update_status 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 booking_update_status 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 booking_update_status. 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.
booking_update_status is provided by the Servicialo MCP server (@servicialo/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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