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mumez

smalltalk-validator-mcp-server

by mumez

Validate Tonel Smalltalk Content

validate_tonel_smalltalk
Read-onlyIdempotent

Validate Tonel formatted Smalltalk source code from a content string. Detects structural and syntax issues to ensure code correctness.

Instructions

Validate Tonel formatted Smalltalk source code from content string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
optionsNoOptional validation options - without-method-body: If true, only validates tonel structure
file_contentYesThe Tonel file content as a string

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.4.3

TDQS

A3.6/5.0
Behavior2/5

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

The description adds no behavioral detail beyond what annotations already provide (readOnlyHint=true, idempotentHint=true, destructiveHint=false). It does not mention error handling, return value format, or what validations are performed, so the description contributes little extra 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, front-loaded sentence: 'Validate Tonel formatted Smalltalk source code from content string.' It is concise, clear, and contains no wasteful wording, ideal for the tool's simplicity.

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 presence of annotations, a complete input schema, and an output schema, the description sufficiently conveys the core functionality and input mode. It lacks explicit usage alternatives, but the overall information is adequate for selecting and invoking the tool.

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 input schema thoroughly documents both parameters (file_content and options) with descriptions, achieving 100% coverage. The description does not add additional parameter semantics beyond restating the content string aspect, so a baseline 3 is appropriate.

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 the action (validate) and the specific resource (Tonel formatted Smalltalk source code) and input source (content string), distinguishing it from file-based or linting siblings like validate_tonel_smalltalk_from_file and lint_tonel_smalltalk.

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 description implies usage for content strings, but does not explicitly state when to use this tool versus alternatives (e.g., the _from_file sibling). No when-not-to-use or alternative names are given, leaving the guidance ambiguous.

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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