previewSubscriptionChange
Preview a subscription tier or seat change. Returns confirmation_token (10-min TTL) plus proration and next-invoice math. Cross-tier upgrades from Free return requires_checkout=true; the apply step creates a hosted Stripe Checkout session. Rate limit 30/h. Use when the user asks to upgrade their ...
This record as markdown: /tools/io-stablebaseline-sb/previewsubscriptionchange.md
What previewSubscriptionChange does on Stable Baseline
AI agents use previewSubscriptionChange to commit financial operations through Stable Baseline, usually the final step of a payment, billing, or trading workflow. A call moves real money.
| 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
This tool directly involves subscription billing changes, proration calculations, and initiates Stripe Checkout flows. Even though it is a 'preview' step, it produces a confirmation_token used to commit financial transactions (subscription upgrades/downgrades, seat purchases).
From the tool's definition 'Preview a subscription tier or seat change', 'proration and next-invoice math', 'cross-tier upgrades from Free return requires_checkout=true; the apply step creates a hosted Stripe Checkout session', 'upgrade their plan (free→pro), downgrade, add seats,…
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:
Any call to previewSubscriptionChange is blocked until a human approves 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 math. Cross-tier upgrades from Free return requires_checkout=true; the apply step creates a hosted Stripe Checkout session. Rate limit 30/h. Use when the user asks to upgrade their plan (free→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 Financial tool in the Stable Baseline MCP Server, which means it involves financial transactions. 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 Financial 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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