Skip to main content
Glama

generate_lorem_ipsum

generate_lorem_ipsum

Generate placeholder text for design mockups and content layouts by specifying paragraph counts, sentence ranges, and output formats.

Instructions

Generate lorem ipsum text

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
countNo
unitsNo
paragraphLowerBoundNo
paragraphUpperBoundNo
sentenceLowerBoundNo
sentenceUpperBoundNo
formatNo
Behavior1/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. 'Generate lorem ipsum text' does not reveal any behavioral traits, such as whether the operation is read-only, destructive, has rate limits, or requires authentication. It lacks details on output format, error handling, or side effects, making it insufficient for a tool with 7 parameters and no output schema.

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?

The description is extremely concise with a single sentence, 'Generate lorem ipsum text', which is front-loaded and wastes no words. It efficiently conveys the core purpose without unnecessary elaboration, making it easy to scan and understand quickly.

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

Completeness1/5

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

Given the complexity (7 parameters, no annotations, no output schema), the description is incomplete. It does not address parameter usage, behavioral aspects, or output expectations, leaving significant gaps for an AI agent to invoke the tool correctly. The lack of context makes it inadequate for a tool with multiple inputs and unknown return values.

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

Parameters1/5

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

The description adds no meaning beyond the input schema, which has 7 parameters with 0% schema description coverage (no descriptions in schema properties). Parameters like 'count', 'units', and 'format' are undocumented in both schema and description. With low coverage, the description fails to compensate by explaining what parameters do or how they affect the output, leaving semantics unclear.

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?

The description 'Generate lorem ipsum text' clearly states the verb ('Generate') and resource ('lorem ipsum text'), making the purpose evident. However, it does not differentiate from sibling tools like 'generate_uuid' or 'generate_hmac' beyond the resource type, as all involve generation but of different outputs. It avoids tautology by not merely restating the name, but lacks specificity on scope or format.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention any context, prerequisites, or exclusions, such as when to choose this over other text-generation tools or how it relates to siblings like 'count_words' or 'format_html'. Usage is implied only by the name and purpose, with no explicit instructions.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/xiaobenyang-com/Text-Toolkit'

If you have feedback or need assistance with the MCP directory API, please join our Discord server