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Detectar estilo de identificador

case-detect
Read-onlyIdempotent

Detecta la convención de nombre de un identificador (camel, snake, kebab…). Cuándo: hay que transformar, comparar o medir un texto con exactitud y no por aproximación. No para: convertir texto a camelCase (case-camel). Efectos secundarios: ninguno (solo lectura, sin red, sin estado guardado). Determinista: la misma entrada da la misma salida. Límites: entrada JSON de hasta 64 KB, 1 s por llamada, resultado de hasta 1 MB.

EN: Detects the naming convention of an identifier: camel, pascal, snake, constant, kebab, train, dot, lower, upper, title, or mixed. When: text has to be transformed, compared or measured exactly instead of approximated. Not for: converting text to camelCase (case-camel). Side effects: none (read-only, no network access, no stored state). Deterministic: the same input gives the same output. Limits: JSON input up to 64 KB, 1 s per call, result up to 1 MB.

Input Schema

NameRequiredDescriptionDefault
textYesIdentifier (string; required; up to 1024 chars).

Output Schema

NameRequiredDescriptionDefault
caseNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / text / examples
      Added value: +[
      +  "userId"
      +]
  2. First observed

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint=false, idempotentHint and destructiveHint=false, so 'no side effects' and 'deterministic' largely restate structured data. What the description genuinely adds beyond annotations is the operational envelope: 64 KB JSON input, 1 s per call, 1 MB result — concrete limits an agent needs before calling with large payloads.

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?

Content is well front-loaded — the core verb and resource come first, then When/Not-for/Side effects/Deterministic/Limits labels. The one waste is full duplication of every sentence in Spanish and English, which roughly doubles length for a single-parameter tool.

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?

For a one-parameter, read-only tool with annotations and an output schema present, the description covers purpose, exclusions, determinism and size/time limits — everything needed to call it safely. Only minor gap is that the 'mixed' outcome and how ambiguous identifiers are classified is not explained.

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 description coverage is 100% and the single 'text' parameter is fully documented (required, up to 1024 chars, with an example), so the baseline is 3. The description adds no syntax or format detail about the identifier itself (e.g. whether punctuation or mixed input is allowed) beyond the stated 64 KB request cap.

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?

States a specific verb and resource (detect the naming convention of an identifier) and enumerates the exact conventions returned: camel, pascal, snake, constant, kebab, train, dot, lower, upper, title, mixed. It also explicitly separates itself from the case-* conversion siblings by naming case-camel as the tool to use for conversion, so an agent can pick correctly without opening the schema.

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

Usage Guidelines4/5

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

Gives a 'When' clause (text must be transformed, compared or measured exactly rather than approximated) and a 'Not for' clause pointing at case-camel for conversion. The guidance is clear but the 'When' condition is somewhat abstract, and only one of the many case-* siblings (case-snake, case-kebab, case-pascal, case-swap, etc.) is named as an alternative.

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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