save_tutorial
PARTIAL SAVE: writes ONLY the 'Tutorial' field of TitlePublicConfigurationModel; all other v1/v2 fields stay untouched. Tutorial / onboarding definitions — flows (ordered scenarios) built from steps that teach the player a mechanic. A step completes either by client acknowledgement or by a real g...
This record as markdown: /tools/com-idosgames-platform/save-tutorial.md
What save_tutorial does on iDos Games
AI agents use save_tutorial to create or update resources in iDos Games, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your iDos Games environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
value | object | Yes | Root block of the tutorial (onboarding) system in the title config. |
title_id | string | Yes | TitleID, для которого сохраняются данные. |
Parameters from the server's own tool schema.
Why save_tutorial is rated Medium
An AI agent can call save_tutorial faster than any human can review: one bad instruction and it creates or modifies resources in iDos Games by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs save_tutorial safely
PolicyLayer is an MCP gateway: it sits between your AI agents and iDos Games, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For save_tutorial, this is the rule to start with:
save_tutorial 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 iDos Games, apply this rule, and every save_tutorial call is checked against it from then on.
Questions about save_tutorial
PARTIAL SAVE: writes ONLY the 'Tutorial' field of TitlePublicConfigurationModel; all other v1/v2 fields stay untouched. Tutorial / onboarding definitions — flows (ordered scenarios) built from steps that teach the player a mechanic. A step completes either by client acknowledgement or by a real game event (the same TriggerSource vocabulary as Quest), so "make a roll", "buy something", "open a chest" need no client-side bookkeeping. A step may also PREDETERMINE the outcome of another module (TutorialScriptedOutcome — e.g. force the board dice to land on a Raid tile), which is the only way to demonstrate a mechanic instead of randomness. Flows carry an audience gate (SegmentGate) and a schedule (ScheduleSpec); putting an Experiment condition in that gate is how two tutorial versions are A/B-tested. Gating other content on tutorial progress is done via SegmentGate.Tutorial per entity, or via Settings.Blocking to close whole modules until onboarding is finished. It is categorised as a Write tool in the iDos Games MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
save_tutorial accepts 2 parameters: value, title_id. Required: value, title_id. The full parameter table on this page comes from the server's own tool schema.
Register the iDos Games MCP server in PolicyLayer and add a rule for save_tutorial: 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 iDos Games. Nothing to install.
save_tutorial 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 save_tutorial 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 save_tutorial. 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.
save_tutorial is provided by the iDos Games MCP server (https://site.idosgames.com/api/v2/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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