text_lorem
Generate lorem ipsum placeholder paragraphs.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| paragraphs | No |
Generate lorem ipsum placeholder paragraphs.
| Name | Required | Description | Default |
|---|---|---|---|
| paragraphs | No |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description honestly states that the tool generates placeholder text. No annotations are provided, but the description does not contradict any implicit behavior. It does not elaborate on specifics like text source or formatting, but it is sufficient 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.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that is perfectly concise with no unnecessary words or redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple tool with one parameter and no output schema, the description provides the core functionality. However, it omits details like the format of the output (e.g., paragraphs separated by newlines) and that the text is standard lorem ipsum. These are minor but would improve completeness.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has one parameter ('paragraphs') with constraints, but the description does not mention it. With 0% schema description coverage, the description should compensate; however, the parameter is self-explanatory given the tool's purpose. Still, the lack of any param description is a gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly uses a specific verb ('Generate') and resource ('lorem ipsum placeholder paragraphs'), making the tool's purpose immediately clear. None of the sibling tools serve the same function.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when or why to use this tool versus alternatives. While no direct sibling exists, there is no indication of best practices or context for use.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Every tool has a clear, distinct purpose with thorough descriptions. Even closely related tools like base64_decode/encode and hash_md5/sha256 are easily differentiated by name and description.
All tools follow a consistent lowercase_underscore naming convention, typically in a <domain>_<action> or <action>_<domain> pattern. There are no jarring deviations or mixed styles.
193 tools is an extreme count, far beyond what any focused server needs. While each tool has utility, the sheer number creates a kitchen-sink effect that overwhelms agents and hinders discoverability.
Within each subdomain (JSON, cron, JWT, etc.), the coverage is exhaustive, covering validation, conversion, parsing, and more. Minor gaps exist (e.g., YAML-to-TOML conversion missing), but overall it is remarkably complete.