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IA-QA — 152 QA & Dev Tools for AI Agents

by io.github.JcJamet
OverviewDiscussionsAdmin

lorem_ipsum

Read-only

Generate Lorem Ipsum placeholder text for UI mockups, design prototypes, or test data population. Configurable paragraphs (1–10), sentences per paragraph (1–20), and approximate words per sentence (3–30).

Input Schema

NameRequiredDescriptionDefault
paragraphsNoNumber of paragraphs to generate (1–10, default: 1)
words_per_sentenceNoApproximate words per sentence (3–30, default: 10)
sentences_per_paragraphNoSentences per paragraph (1–20, default: 5)

Output Schema

NameRequiredDescriptionDefault
paragraphsNo
paragraph_countNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / examples
      Added value: +[
+  {
+    "paragraphs": 3,
+    "sentences_per_paragraph": 2
+  }
+]
  2. Changed3 schema fields changed
    • changedInput schema / properties / paragraphs / description
      Previous value: -"Number of paragraphs to generate (1–10, default: 1)"New value: +"Number of paragraphs to generate (1–10, default: 1)"
    • changedInput schema / properties / sentences_per_paragraph / description
      Previous value: -"Sentences per paragraph (1–20, default: 5)"New value: +"Sentences per paragraph (1–20, default: 5)"
    • changedInput schema / properties / words_per_sentence / description
      Previous value: -"Approximate words per sentence (3–30, default: 10)"New value: +"Approximate words per sentence (3–30, default: 10)"
  3. Changed1 schema field changed
    • addedOutput schema / properties
      Added value: +{
+  "paragraph_count": {
+    "type": "number"
+  },
+  "paragraphs": {}
+}
  4. Changed1 schema field changed
    • changedOutput schema / (root)
      Previous value: -nullNew value: +{
+  "additionalProperties": true,
+  "type": "object"
+}
  5. First observed

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the safety profile is fully covered and the description need not repeat it. What the description omits is a behavioral detail annotations only imply: that output is regenerated non-deterministically each call (consistent with idempotentHint=false), so identical inputs may not yield identical text. Useful additional context, but thin.

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, zero waste: the purpose and use cases lead, and the configurability note follows. Nothing is padded or repeated unnecessarily beyond the compact range restatement.

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?

With an output schema present, the description correctly need not explain return values, and annotations cover safety. The only meaningful omission is non-determinism of the generated text, which matters for a tool whose whole output is synthesized content.

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 each parameter documents its own range and default. The description merely restates those ranges (1–10, 1–20, 3–30) without adding meaning such as how 'approximate' words per sentence is actualized or what the default is, so baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

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 concrete use cases, which is far more informative than the bare name. It does not, however, distinguish itself from mock_from_schema, the closest sibling that also produces test/mock data, leaving a real selection ambiguity.

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 clear contexts for use (UI mockups, design prototypes, test data population), so an agent knows the intended scenario. It stops short of any when-not guidance or pointing at mock_from_schema for schema-driven mock data, so the boundary between the two is left to inference.

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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