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RoellinRacing

RRS OrcaSlicer MCP

settings_validate

Checks source-known types, ranges, and enums as advisory validation before slicing, without performing engine validation.

Instructions

Advisory check of source-known types, ranges and enums; not engine validation.

Input Schema

NameRequiredDescriptionDefault
valuesYes

Output Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.5.1

TDQS

B3.1/5.0
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral burden. It usefully discloses that the check is advisory and limited to source-known metadata rather than engine-level validation, but it does not explicitly state that the operation is read-only, what happens on invalid input, or any authorization requirements.

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?

The description is a single front-loaded sentence with no filler. It is arguably too terse, but that is better captured under contextual completeness rather than verbosity.

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?

Given a free-form nested object parameter with no schema descriptions and no annotations, the description is not complete enough. An agent still lacks guidance on what to put in 'values' and what the advisory check will report, even though an output schema exists to cover return values.

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

Parameters2/5

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

Schema description coverage is 0% and the single parameter is a free-form nested object, so the schema provides almost no guidance. The description hints that the object's values are checked against types, ranges, and enums, but it does not explain the expected key structure or value format.

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 action (advisory check) and the scope of what is checked (types, ranges, enums), and it distinguishes this from full engine validation. The term 'source-known' is somewhat opaque, but an agent can still infer that this validates settings values against known metadata.

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 phrases 'advisory check' and 'not engine validation' imply when this tool is appropriate versus a heavier validation path. However, no sibling tools such as settings_compare or settings_write are named, and there is no explicit when-not guidance.

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