get_ai
GET ONLY the 'AI' field of TitlePublicConfigurationModel. InApp AI generation features of the title - what a PLAYER can generate at runtime through the engine (text/NPC chat, images, video, speech, music, 3D). Enabled is the master switch; Features maps a stable FeatureKey (no '.' or '$') to one ...
This record as markdown: /tools/com-idosgames-platform/get-ai.md
What get_ai does on iDos Games
AI agents call get_ai to retrieve information from iDos Games without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
title_id | string | Yes | TitleID, для которого читаются данные. |
Parameters from the server's own tool schema.
Why get_ai is rated Low
Even though get_ai only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs get_ai safely
PolicyLayer is an MCP gateway: it sits between your AI agents and iDos Games, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For get_ai, this is the rule to start with:
get_ai is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect iDos Games, apply this rule, and every get_ai call is checked against it from then on.
Questions about get_ai
GET ONLY the 'AI' field of TitlePublicConfigurationModel. InApp AI generation features of the title - what a PLAYER can generate at runtime through the engine (text/NPC chat, images, video, speech, music, 3D). Enabled is the master switch; Features maps a stable FeatureKey (no '.' or '$') to one feature: its Modality, a Model = the id of a MODE (Text: an AI Coder mode such as "standard") or a TIER (media: an asset generation tier such as "image-balanced") - list the usable ones, with what the publisher's plan allows, with the dashboard action GetInAppAIModels (Text features that AllowImages need a mode that AcceptsImages), Behavior defaults per modality (no platform caps: MaxTokens is bounded only by what the mode's model can produce), Safety prompt checks, an audience Gate (SegmentGate), a Schedule (ScheduleSpec), per-player Limits (LimitSpec) and the in-game PriceOptions the PLAYER pays (in-game resources and/or ONE store purchase per generation - a Purchase entry in the option's base price; never inside PremiumTiers, never two per option). Each generation is charged to the PUBLISHER's credits by the engine at the model's price; per-title spend caps (in credits) live in the PRIVATE config (InAppAIBudget), not here. Server-only section: never sent to the game client or the CDN. It is categorised as a Read tool in the iDos Games MCP Server, which means it retrieves data without modifying state.
get_ai accepts 1 parameter: title_id. Required: 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 get_ai: 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.
get_ai 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 get_ai 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 get_ai. 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.
get_ai 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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