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MukundaKatta

case-mcp

by MukundaKatta

convert

Convert strings between case styles like camel, snake, kebab, and more, with smart splitting for mixed-case input.

Instructions

Convert a string between case styles: camel, pascal, snake, constant, kebab, train, dot, path, title, lower, upper, sentence. Smart input splitting handles mixed-case input.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
styleYesTarget style.
Behavior3/5

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

With no annotations, the description carries full burden. It mentions 'smart input splitting handles mixed-case input', which adds some behavioral context. However, it does not disclose output format, edge cases (empty string, non-alphabetic chars), or idempotency.

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?

Two sentences with no redundancy. Every word adds value: the action, the styles list, and the smart splitting behavior. Ideal conciseness.

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

Completeness3/5

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

For a simple tool with no output schema, the description covers the main operation but omits what the tool returns (assumed converted string). It also lacks info on side effects or error behavior. Adequate but incomplete for full autonomous use.

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?

Schema coverage is 50% (only 'style' has a description). The description adds 'smart input splitting' which hints at how 'text' is processed, but for 'style' it only lists the enum values already in schema. This adds some value but does not compensate fully for the undocumented 'text' parameter.

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 verb 'Convert a string' and the resource 'case styles', listing all 12 supported styles. This makes the purpose unmistakable, and with no sibling tools, differentiation is not needed.

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 string case conversion but provides no explicit guidance on when to use this tool vs alternatives (none exist here). No conditions or prerequisites are given, making it minimal but adequate.

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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