Skip to main content
Glama

game_serialize_state

Serialize a Godot node tree's state as JSON to save or restore game progress.

Instructions

Save or load node tree state as JSON

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNoState data to restore (for load)
actionNoAction: save or load. Default: save
maxDepthNoMax tree depth to serialize. Default: 5
nodePathNoRoot node path. Default: "/root"

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Save or load' only tells the agent the operation type; it does not say whether save returns the JSON or writes a file, whether load mutates the live scene tree destructively, how non-serializable nodes are handled, or what the response format is. For a tool with both read and write modes, this is a significant transparency gap.

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?

A single, front-loaded sentence with zero filler words; the dual-mode purpose appears immediately. It is appropriately compact, though slightly under-specified for a tool with two behaviors and four parameters, which keeps it from a 5.

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

Completeness2/5

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

With no output schema and no annotations, the description needed to explain what save returns, what load mutates, and how the parameters fit together; it does none of this. An agent calling game_serialize_state knows roughly what it does but not what to expect back or what side effects to anticipate, which is incomplete for a dual-mode serialization tool.

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 description coverage is 100%, so the schema already documents all four parameters and their defaults. The description adds modest value by clarifying that the serialized payload is JSON and linking 'save or load' to the action parameter's two modes, but it does not explain the interplay between data, nodePath, and maxDepth (e.g., whether data is the output of a prior save). Baseline 3 is appropriate since the schema does the heavy lifting.

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

Purpose4/5

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

The description states a specific verb-resource pair ('Save or load node tree state') and pinpoints the format ('as JSON'), so an agent can tell that this tool serializes/deserializes scene state. It is not a tautology and maps clearly to the action parameter's save/load modes. However, it does not explicitly differentiate itself from similar siblings such as save_scene or read_scene.

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

Usage Guidelines2/5

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

No guidance is given about when to use this tool versus alternatives like save_scene, read_scene, or game_get_scene_tree. With a large sibling list containing several scene-related tools, the agent is left to infer whether this is for runtime state snapshots, file persistence, or scene inspection. No exclusions, prerequisites, or alternative routing are mentioned.

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

Deploy Server

Other Tools