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lorem

Generate lorem ipsum placeholder text with a chosen paragraph or word count. Pure CPU, instant.

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": {
      "paragraphs": "<paragraphs>"
    },
    "name": "lorem"
  }
}

Input Schema

NameRequiredDescriptionDefault
wordsNoWords
paragraphsYesParagraphs

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added
  2. Removed
  3. Changed3 schema fields changed
    • addedInput schema / properties / paragraphs
      Added value: +{
      +  "description": "Paragraphs",
      +  "type": "integer"
      +}
    • addedInput schema / properties / words
      Added value: +{
      +  "description": "Words",
      +  "type": "integer"
      +}
    • addedInput schema / required
      Added value: +[
      +  "paragraphs"
      +]
  4. Added

TDQS

A3.6/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden. It does add real behavioral context — 'Pure CPU, instant' tells the agent there is no network call, no auth, and no latency cost — but it says nothing about the output shape, formatting, or what happens when both count parameters are supplied.

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?

Two short sentences, front-loaded with the core action and zero filler. The trailing 'Pure CPU, instant' fragment is terse but informative; nothing should be cut, though the phrasing could be slightly smoother.

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 two-parameter, no-output-schema utility this is close to adequate, but it omits how the generated text is returned (paragraph separators, plain string) and how the optional word count relates to the required paragraph count — details an agent cannot infer from the sparse schema.

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 nominally 100% but the property descriptions are useless single words ('Words', 'Paragraphs'), so the schema itself conveys little. The description adds that either a paragraph count or a word count can drive the output, but does not resolve the key ambiguity of how the two interact, or why one is required and the other optional.

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: 'Generate lorem ipsum placeholder text', plus the configurable dimension (paragraph or word count). No sibling does this, and an agent can tell immediately what it gets back.

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?

Usage is implied by the nature of the utility (you need placeholder/filler text), but there is no explicit when-to-use or when-not guidance and no named alternative among the many text tools (rewrite, generate_headlines, word_count).

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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