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morahan

SpellChecker MCP Server

by morahan

check_spelling

Identify spelling errors in text and provide correction suggestions. Supports multiple languages and can include line numbers for precise error location.

Instructions

Check spelling in the provided text and return misspellings with suggestions

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYesThe text to check for spelling errors
languageNoLanguage code (e.g., en-US, es, fr, de, pt)en-US
includeLineNumbersNoWhether to include line and column numbers for each misspelling
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 burden of behavioral disclosure. It mentions the tool returns misspellings with suggestions but lacks details on format, error handling, rate limits, or authentication needs. For a tool with zero annotation coverage, this is a significant gap in transparency.

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, efficient sentence that front-loads the core purpose and outcome. Every word earns its place, with no redundancy or unnecessary elaboration, making it highly concise and well-structured.

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 the complexity of a spelling-check tool with 3 parameters, no annotations, and no output schema, the description is incomplete. It doesn't cover behavioral aspects like response format, error cases, or how suggestions are generated, leaving gaps for the agent to operate effectively.

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?

The schema description coverage is 100%, meaning all parameters are documented in the schema. The description doesn't add any semantic details beyond what the schema provides (e.g., it doesn't explain how 'language' affects checking or what 'includeLineNumbers' entails). With high schema coverage, the baseline score of 3 is appropriate.

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 clearly states the tool's purpose: 'Check spelling in the provided text and return misspellings with suggestions.' It specifies the verb ('check'), resource ('spelling in the provided text'), and outcome ('return misspellings with suggestions'). However, it doesn't explicitly differentiate from siblings like 'check_file' or 'is_correct', which would require 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 doesn't mention siblings such as 'check_file' for file-based spelling checks or 'is_correct' for simple correctness verification. Without any context on usage scenarios or exclusions, the agent must infer based on tool names alone.

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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