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Klipper MCP Server

Klipper MCP Server

by LauOtero
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

validate_config

Verify Klipper configuration content for errors before applying it to your printer. Checks syntax and structure offline.

Instructions

Valida contenido de configuración Klipper.

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": {
      "config_content": "<config_content>"
    },
    "name": "validate_config"
  }
}

Input Schema

NameRequiredDescriptionDefault
filenameNoprinter.cfg
config_contentYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.4/5.0
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 disclosure burden. It implies a non-mutating validation but says nothing about error reporting, what invalid input triggers, or whether any state is affected. With zero annotation coverage this is a notable gap.

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

Conciseness3/5

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

It is a single front-loaded sentence with no wasted words, but its brevity stems from under-specification rather than economy. The sentence earns its place but covers only the bare minimum.

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?

An output schema exists, so return values needn't be explained, but with no annotations, no parameter documentation, and no usage guidance, the definition is not complete enough to reliably select and invoke the tool. The 0% schema description coverage leaves the parameters fully undocumented.

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

Parameters1/5

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

Schema description coverage is 0% and the description adds no parameter meaning whatsoever. It never explains config_content (the required field) or the optional filename with its default of printer.cfg, so it does not compensate for the low coverage.

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 gives a specific verb (valida) and resource (contenido de configuración Klipper), so an agent knows it validates Klipper config. It does not, however, differentiate from close siblings such as lint_extra or search_config, which also operate on config data.

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?

There is no when-to-use, no when-not-to-use, and no mention of alternatives like lint_extra or get_config_file. The agent receives no routing guidance at all.

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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