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Texto de relleno lorem ipsum

lorem-ipsum
Read-onlyIdempotent

Genera texto de relleno lorem ipsum determinista. Cuándo: hay que transformar, comparar o medir un texto con exactitud y no por aproximación. No para: contar caracteres, bytes, palabras, oraciones, líneas y párrafos, y estima el tiempo de lectura (text-metrics). 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: Generates deterministic lorem ipsum placeholder text: a number of words, sentences or paragraphs, always starting with "Lorem ipsum dolor sit amet". When: text has to be transformed, compared or measured exactly instead of approximated. Not for: counting characters (text-metrics). 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
unitNoUnit (optional; one of: words, sentences, paragraphs; default "paragraphs").paragraphs
countNoHow many units (integer; optional; default 1; min 1; max 200).

Output Schema

NameRequiredDescriptionDefault
textNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Adds concrete operational limits that annotations do not carry: 64 KB JSON input, 1 s per call, 1 MB result, and no stored state. However, the read-only / no-network / deterministic claims largely restate readOnlyHint, openWorldHint=false and idempotentHint=true, so the net new information is the size/time limits rather than the safety profile.

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?

Each language block is tightly structured with labelled When/Not for/Side effects/Deterministic/Limits and the purpose is front-loaded. The full Spanish-English duplication roughly doubles the length for no additional information, which is the main waste.

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

Completeness5/5

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

With an output schema present, the description needn't explain return values, and it still covers purpose, exclusions, determinism, side effects and hard limits. Nothing an agent needs to call this correctly is missing.

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 both parameters (unit enum, count with min/max) are fully documented in the schema, so the baseline of 3 applies. The description only paraphrases them ("a number of words, sentences or paragraphs") without adding format or interaction detail; the notable extra (the fixed opening phrase) is about output, not parameters.

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 ("Generates deterministic lorem ipsum placeholder text") plus the output contract (a number of words, sentences or paragraphs, always starting with "Lorem ipsum dolor sit amet"). It explicitly names the sibling it is not (text-metrics), so an agent can distinguish it without opening a schema.

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

Usage Guidelines5/5

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

Provides explicit "When:" (text has to be transformed, compared or measured exactly rather than approximated) and "Not for:" clauses that route counting/measuring tasks to text-metrics. This is the when/when-not/alternative pattern in full.

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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