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Escapar expresión regular

regex-escape
Read-onlyIdempotent

Escapa una cadena literal para usarla dentro de una expresión regular. Cuándo: hay que transformar, comparar o medir un texto con exactitud y no por aproximación. No para: reemplazar coincidencias de una expresión regular (regex-replace). 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: Escapes a literal string so it can be embedded in a regular expression and match itself exactly. When: text has to be transformed, compared or measured exactly instead of approximated. Not for: replacing regex matches (regex-replace). 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
textYesLiteral text (string; required; up to 10000 chars).

Output Schema

NameRequiredDescriptionDefault
escapedNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / text / examples
      Added value: +[
      +  "a.b*c"
      +]
  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=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so much of the safety profile is covered. The description still adds genuinely new context the annotations cannot express: determinism, no network access, no stored state, and concrete quotas (64 KB JSON input, 1 s per call, 1 MB result).

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?

The layout is well front-loaded with labeled clauses (Cuándo / No para / Efectos secundarios / Límites), so every sentence is scannable and purposeful. The full bilingual duplication roughly doubles the length; defensible given the Spanish title, but it does mean an English-only agent pays for the Spanish text twice over.

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 single-parameter, read-only string transformer with an output schema, the description covers purpose, exclusions, side effects and limits, which is nearly everything an agent needs. Only edge behavior — what happens when input exceeds the 64 KB / 10000-char bounds — is left implicit.

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 100% and the single parameter is fully documented with type, required flag, maxLength and an example, so the description adds little per-parameter meaning beyond "literal text." Worth noting the stated 64 KB limit applies to the whole JSON input while the schema caps this string at 10000 chars — not a contradiction, but the two are not reconciled.

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 states a specific verb and resource ("Escapa una cadena literal para usarla dentro de una expresión regular") and pins down the semantics: the result must "match itself exactly." It explicitly separates the tool from its closest sibling, regex-replace, so an agent can choose between them without opening either 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?

It gives an explicit when ("text has to be transformed, compared or measured exactly instead of approximated") and an explicit not-for naming the alternative (regex-replace). The remaining gap is that the when-condition is abstract; it never mentions the concrete trigger, e.g. embedding untrusted user input into a pattern, and it does not distinguish itself from regex-test.

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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