Skip to main content
Glama
Sign In
API Hub MCP — 337+ Tools

API Hub MCP — 337+ Tools

by scotia1973-bot
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

generate_lorem_ipsum

Generate placeholder text for mockups and wireframes. Specify type and count to get paragraphs, sentences, or words of Lorem Ipsum.

Instructions

Generate Lorem Ipsum placeholder text.

Use this when creating mockups, wireframes, design drafts, or any situation
where you need realistic-looking placeholder text.

Parameters:
    type  — Unit of output: "paragraphs", "sentences", or "words"
            (default: "paragraphs").
    count — Number of units to generate (1-100, default: 3).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "generate_lorem_ipsum"
  }
}

Input Schema

NameRequiredDescriptionDefault
typeNoparagraphs
countNo

Output Schema

NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv2.4.1

TDQS

A4.2/5.0
Behavior3/5

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

No annotations provided, so description carries full burden. It discloses parameters and defaults but lacks details on behavioral traits like randomness or reproducibility. Adequate for a simple generation tool.

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?

Concise and well-structured: one sentence for purpose, one for usage, then clear parameter list. No unnecessary words.

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?

Covers purpose, usage, and parameters adequately. Output schema exists, so return values are not needed. Minor gap: no mention of edge cases or error behavior, but acceptable for a simple tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With schema coverage at 0%, the description effectively explains both parameters, including allowed values for 'type' ('paragraphs', 'sentences', 'words') and range for 'count' (1-100). Adds value beyond schema defaults.

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 clearly states the tool generates Lorem Ipsum placeholder text, with a specific verb ('Generate') and resource. It distinguishes itself from other text generation tools (e.g., generate_random_data) by specifying the type of text.

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?

Provides clear usage scenarios (mockups, wireframes, design drafts) but does not explicitly state when not to use or list alternatives among other text tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools