previewSubscriptionChange
Preview a subscription tier or seat change. Returns confirmation_token (10-min TTL) plus proration and next-invoice maths. Cross-tier upgrades from Free return requires_checkout=true; the apply step creates a hosted Stripe Checkout session. Plus is for one person (one flat price, one seat); movin...
This record as markdown: /tools/io-stablebaseline-sb/previewsubscriptionchange.md
What previewSubscriptionChange does on Stable Baseline
AI agents call previewSubscriptionChange to permanently remove resources in Stable Baseline, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
| Parameter | Type | Required | Description |
|---|---|---|---|
target_tier | string | Yes | |
target_seats | integer | — | |
organisation_id | string | Yes |
Parameters from the server's own tool schema.
Why previewSubscriptionChange is rated Critical
An AI agent that decides to call previewSubscriptionChange doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Stable Baseline is gone. There is no undo for destructive operations.
Attacks that exploit this kind of access
The rule that runs previewSubscriptionChange safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Stable Baseline, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For previewSubscriptionChange, this is the rule to start with:
previewSubscriptionChange is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.
The button opens the PolicyLayer dashboard: create your workspace, connect Stable Baseline, apply this rule, and every previewSubscriptionChange call is checked against it from then on.
Questions about previewSubscriptionChange
Preview a subscription tier or seat change. Returns confirmation_token (10-min TTL) plus proration and next-invoice maths. Cross-tier upgrades from Free return requires_checkout=true; the apply step creates a hosted Stripe Checkout session. Plus is for one person (one flat price, one seat); moving into Plus is refused until the organisation fits it, and the refusal says exactly what to remove. A move to Enterprise is refused (it is arranged with sales); an Enterprise organisation can still preview a seat change with target_tier=enterprise and target_seats. Rate limit 30/h. Use when the user asks to upgrade their plan (free to plus or pro, plus to pro), downgrade, add seats, increase seats, or change subscription tier. ALWAYS call this preview first, then applySubscriptionChange with the returned token after the user confirms. It is categorised as a Destructive tool in the Stable Baseline MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
previewSubscriptionChange accepts 3 parameters: target_tier, target_seats, organisation_id. Required: target_tier, organisation_id. The full parameter table on this page comes from the server's own tool schema.
Register the Stable Baseline MCP server in PolicyLayer and add a rule for previewSubscriptionChange: 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 Stable Baseline. Nothing to install.
previewSubscriptionChange is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the previewSubscriptionChange 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 previewSubscriptionChange. 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.
previewSubscriptionChange is provided by the Stable Baseline MCP server (https://api.stablebaseline.io/functions/v1/cloud-serve/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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