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TextToolkit

TextToolkit

by Cicatriiz
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TypeScript
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case_to_camel

Transform text into camelCase format, optionally specifying a delimiter between words and locale for case conversion.

Instructions

Convert text to camelCase

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": {
      "text": "<text>"
    },
    "name": "case_to_camel"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesThe text to transform to camelCase
delimiterNoThe character to use between words (optional)
localeNoLocale for case conversion (optional)
mergeAmbiguousCharactersNoWhether to merge ambiguous characters (optional)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3/5.0
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 burden. It only states the conversion operation without disclosing behavioral traits like idempotency, side effects (none expected), or handling of edge cases. The optional parameters (delimiter, locale, mergeAmbiguousCharacters) are not mentioned in the description, leaving the agent to infer behavior solely from the schema.

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?

The description is extremely concise (three words), which is efficient but lacks necessary detail. It front-loads the purpose but fails to include any context about parameters or usage, making it less helpful than a slightly longer but more informative description.

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 tool has 4 parameters, no output schema, and no annotations, the description is woefully incomplete. It does not explain return format, behavior with optional parameters, or edge cases. The agent would have to rely entirely on the schema and trial/error, which is insufficient for safe and correct invocation.

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?

With 100% schema description coverage, the baseline is 3. The description adds no additional meaning beyond what the parameter descriptions already provide. It does not explain how parameters like delimiter or locale affect the conversion, but the schema descriptions are adequate.

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 'Convert text to camelCase' uses a specific verb ('Convert') and identifies the resource ('text' to 'camelCase'). It clearly distinguishes this tool from siblings like case_to_kebab or case_to_snake by naming the target case format.

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 (e.g., case_to_pascal, case_to_lower). It lacks any explanation of prerequisites, input constraints, or when to prefer other case converters.

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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