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Get Title Custom Data settings

get_title_custom_data
Read-only

GET ONLY the 'TitleCustomData' field of TitlePublicConfigurationModel. SCHEMA + limits for the title-wide key-value store (feature flags, project-wide globals, event state, balancing knobs that don't fit any typed definition below). This section holds ONLY the key schema — the VALUES live in the TitleCustomData store, one document per title, managed with the dedicated title-data tools (get_title_data / save_title_data). Each key declares a Scope (Static = authored config; Runtime = mutable state written only by CloudCode scripts) and a Bucket (Public = readable by game clients; Private = server/CloudCode only).

Input Schema

NameRequiredDescriptionDefault
title_idYesTitleID, для которого читаются данные.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered. The description adds real context beyond that: this returns ONLY the key schema (not values), and each key carries a Scope (Static/Runtime) and Bucket (Public/Private) semantic model. It does not describe pagination or the concrete return envelope, but for a read-only getter the added value is substantial.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Front-loaded with the critical 'GET ONLY' scope constraint, and the disambiguating sentence follows immediately. It is dense and long, but the Scope/Bucket explanation earns its place by defining the returned model; a reader is not left wading through filler.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description carries the burden of explaining the return shape, and it does so by characterizing the key schema and its Scope/Bucket attributes and by clarifying that values are NOT included. That covers what an agent needs to interpret the result; only concrete field formatting is left implicit.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single title_id parameter, so the schema already carries the parameter documentation (albeit in Russian). The description's 'one document per title' reinforces the per-title scoping but adds no syntax or format detail beyond the schema. Baseline 3 is appropriate.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a precise verb+resource ('GET ONLY the TitleCustomData field of TitlePublicConfigurationModel') and immediately disambiguates it from the similarly named get_title_data/get_title_custom_data pair. An agent can tell exactly what this returns versus its nearest sibling without opening either schema.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly routes the agent: values live in the TitleCustomData store and are 'managed with the dedicated title-data tools (get_title_data / save_title_data)'. This is a clear when-to-use-this vs when-to-use-the-alternative statement, unusual for a getter.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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