lorem_ipsumGenerate placeholder lorem ipsum text by paragraphs, sentences or words. Runs on smart-tools.xyz.
| Name | Required | Description | Default |
|---|---|---|---|
| unit | No | paragraphs (default), sentences or words | |
| count | No | How many units to generate (default 3) | |
| locale | No | Language for the source_url link (default en) | |
| start_lorem | No | Begin with the classic 'Lorem ipsum dolor sit amet…' (default true) |
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?
No annotations are provided, so the description carries the full burden of disclosure, but it only states the basic function and a deployment note ('Runs on smart-tools.xyz'). It does not disclose return format, side effects, or error behavior.
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 front-loaded with the core purpose, followed by a brief deployment note. It is concise, though the 'Runs on smart-tools.xyz' clause adds marginal value and could be considered unnecessary.
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 generator with full schema coverage, the description conveys the essential purpose and unit options. However, without an output schema, it does not clarify the exact return shape (e.g., string vs. array) or potential limitations, leaving some ambiguity.
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 schema covers all 4 parameters with descriptions, so the baseline is 3. The description adds no parameter-specific meaning beyond what the schema already provides, but it does not need to compensate since coverage is 100%.
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 states a specific action ('generate') and resource ('placeholder lorem ipsum text'), and distinguishes the tool from siblings by specifying the output units (paragraphs, sentences, or words). This is sufficient to differentiate it among the many generator tools.
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 explicit when-to-use or alternative tools are mentioned. However, the purpose is self-evident for creating placeholder text, so usage is implied rather than explicitly guided.
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.
Most tools are clearly distinct, but there are notable overlaps. 'hash_generator' and 'file_hash' effectively do the same thing (SHA hashing of text), and several CSV/TSV converters (csv_to_json, csv_to_sql, table_to_csv, markdown_table) have similar input handling, though outputs differ. The sheer number of converters is clear, but these near-duplicates create some ambiguity.
Names follow a generally consistent pattern: lowercase with underscores, often ending in 'converter', 'calculator', or 'generator'. A few names like 'base64', 'lorem_ipsum', and 'transliteration' deviate from the suffix pattern, but the naming style is uniform and predictable overall.
With 73 tools, this server is far over the typical well-scoped range. While the broad utility-toolkit purpose might justify a larger set, 73 is unwieldy and pushes well into 'too many' territory, making it harder for an agent to select the right tool efficiently.
The server covers a remarkably wide range of common utilities: unit conversions, calculators, text transformations, development helpers (JSON, regex, JWT, subnet), and generators. Minor gaps exist (e.g., currency converter, time zone converter), but for a general-purpose toolkit, it is largely comprehensive.