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Godot MCP

Godot MCP

by cxb2523
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

get_debug_output

Retrieve the current Godot debug output and error messages to diagnose runtime issues and inspect logs while testing or debugging a live project.

Instructions

Get the current debug output and errors

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "get_debug_output"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.1.0

TDQS

B3.1/5.0
Behavior2/5

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

With no annotations, the description carries full responsibility for disclosing behavior. It merely states the action without mentioning side effects, requirements (e.g., running project), return format, or error behavior. The word 'Get' implies a read operation, but this is not explicit and no other behavioral traits are disclosed.

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, direct sentence that efficiently communicates the core function with no filler. It is appropriately sized for a zero-parameter tool, though it sacrifices completeness for brevity.

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?

Despite the tool's simplicity, the description omits important context such as when debug output is available, whether a project must be running, and the format of the returned output. With no annotations or output schema, these gaps make the description incomplete for an agent deciding to invoke it.

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

Parameters4/5

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

The tool has zero parameters, so the input schema already fully covers parameter semantics. The description adds no parameter information, but none is needed; baseline 4 applies.

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 ('Get') and resource ('current debug output and errors'), clearly identifying the tool's function. It does not explicitly differentiate from sibling getters like get_project_info or get_uid, but the resource is unique enough that an agent can infer its purpose. However, 'current' is ambiguous (current project? current session?), so not a 5.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention prerequisites (e.g., project running) or exclusion cases, and there is no reference to sibling tools like run_project or stop_project. An agent is left without context on when this tool is appropriate.

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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