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save_usage

PARTIAL SAVE: writes ONLY the 'Usage' field of TitlePublicConfigurationModel; all other v1/v2 fields stay untouched. Retention policy for the player's activity history (Usage). The engine keeps a rolling window of per-day records and folds everything older into monthly totals, then months of fini...

SERVERiDos Games SOURCEhttps://site.idosgames.com/api/v2/mcp
Critical RISK CLASS
Category Destructive
Parameters 22 required
Recommended Hiddensee the rule below
Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/com-idosgames-platform/save-usage.md

What save_usage does on iDos Games

AI agents call save_usage to permanently remove resources in iDos Games, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

ParameterTypeRequiredDescription
value object Yes New value for the Usage field.
title_id string Yes TitleID, для которого сохраняются данные.

Parameters from the server's own tool schema.

Why save_usage is rated Critical

An AI agent that decides to call save_usage doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from iDos Games is gone. There is no undo for destructive operations.

Questions about save_usage

What does the save_usage tool do? +

PARTIAL SAVE: writes ONLY the 'Usage' field of TitlePublicConfigurationModel; all other v1/v2 fields stay untouched. Retention policy for the player's activity history (Usage). The engine keeps a rolling window of per-day records and folds everything older into monthly totals, then months of finished years into yearly totals — otherwise the per-day map grows forever inside the hottest document on the platform. WARNING: the fold is IRREVERSIBLE, per-day detail outside the window is gone for good. Do not lower DailyWindowDays below 400 without also lowering the analytics range cap: publisher analytics (DAU/WAU/MAU, retention cohorts, funnels) is computed lazily from those very per-day records, accepts ranges of up to 366 days, and needs 30 extra preceding days per requested day for MAU. Also holds SessionIdleTimeoutMinutes: how many minutes of silence end a session (default 30, the same rule Firebase/GA4 use, so the two reports stay comparable). The session boundary is decided by the SERVER from the player's last activity — the client's IsNewSession flag is not trusted for counting. Leave every field null unless you have a specific reason — the defaults (enabled, 400-day window, 30-minute session gap) are what the analytics horizon was sized against. It is categorised as a Destructive tool in the iDos Games MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does save_usage accept? +

save_usage 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.

How do I enforce a policy on save_usage? +

Register the iDos Games MCP server in PolicyLayer and add a rule for save_usage: 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.

What risk level is save_usage? +

save_usage is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit save_usage? +

Yes. Add a rate_limit block to the save_usage 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.

How do I block save_usage completely? +

Set action: deny in the PolicyLayer policy for save_usage. 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.

What MCP server provides save_usage? +

save_usage 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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