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Godot MCP - Full Control

Godot MCP - Full Control

by cxb2523
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

read_project_settings

Reads project.godot as structured JSON to inspect Godot project settings, enabling AI assistants to understand project configuration before making changes.

Instructions

Read project.godot as structured JSON

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "projectPath": "<projectPath>"
    },
    "name": "read_project_settings"
  }
}

Input Schema

NameRequiredDescriptionDefault
projectPathYesGodot project path

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.1.0

TDQS

A3.9/5.0
Behavior3/5

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

With no annotations provided, the description carries the behavioral burden. It discloses the key behavior — reading project.godot and returning structured JSON — which implies a non-mutating read operation. However, it does not mention failure modes, required project structure, or any validation behavior.

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

Conciseness5/5

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

The description is a single concise sentence with no filler. It front-loads the action ('Read') and the target resource, making it immediately scannable for an agent.

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

Completeness5/5

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

For a simple single-parameter read tool, the description covers the essential context: what is read (project.godot), from where (the provided project path), and what the agent will receive ('structured JSON'). No output schema exists, but the return format is explicitly stated.

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 single parameter projectPath is already documented as 'Godot project path'. The description adds minimal value beyond the schema, which is expected and acceptable under the baseline for full schema coverage.

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?

The description uses a specific verb ('Read') and a precise resource ('project.godot'), and specifies the output format ('structured JSON'). This clearly distinguishes it from sibling tools like modify_project_settings or read_scene at a glance.

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

Usage Guidelines3/5

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

The intended use case is implied: use this tool when you need to read Godot project settings from project.godot as JSON. However, it does not explicitly state when to prefer this tool over alternatives such as read_file or get_project_info, nor does it offer exclusions.

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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