Skip to main content
Glama

check

Check Ukrainian text for grammar, spelling, and surzhyk issues using hand-written rules, russianism detection, and corpus data. Returns detailed issues with severity and replacement suggestions.

Instructions

Full Ukrainian grammar + spelling + surzhyk check.

Runs LanguageTool, 1400+ hand-written rules, a fine-tuned russianism detection model, and the antisurzhyk book corpus. Returns position-indexed issues with severity and replacement suggestions.

Use this when the user asks "is my Ukrainian correct?" or you want to validate Ukrainian text comprehensively (not just naturalness).

Args: text: Ukrainian text (up to ~5000 chars).

Returns: { "issues": [ {"rule_id": str, "offset": int, "length": int, "message": str, "suggestion": str | None, "severity": "error" | "warning" | "hint", "source": str, "category": str | None}, ... ], "stats": {"word_count": int, "errors": int, "warnings": int, ...}, "engine_version": str, "citation": {...}, }

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Describes the internal engines, return type with position-indexed issues, severity, suggestions, and character limit. No annotations provided, so description carries full burden; it is transparent but lacks details like rate limits or error handling.

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 well-structured and front-loaded with the main purpose, then details engines, guidelines, and return format. It is fairly concise, though a bit verbose with engine details.

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

Completeness4/5

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

Given the single parameter and the detailed return type in the description (no formal output schema but a JSON example), the description is sufficient for an agent to understand and invoke the tool. Lacks some edge cases but overall complete.

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

Parameters5/5

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

The input schema only defines 'text' as a string; the description adds crucial context: 'Ukrainian text (up to ~5000 chars)', which goes beyond schema and clarifies constraints.

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 clearly states it performs a 'Full Ukrainian grammar + spelling + surzhyk check' and lists the engines used. It distinguishes itself from sibling 'check_natural' by specifying it validates comprehensively, not just naturalness.

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

Usage Guidelines5/5

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

Explicitly says to use when user asks 'is my Ukrainian correct?' or wants comprehensive validation, and contrasts with 'not just naturalness', providing clear guidance vs. alternatives.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vitalinguist/ukr-vitalinguist-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server