Generate lorem ipsum text using Faker.
| Name | Required | Description | Default |
|---|---|---|---|
| paragraphs | No | Number of paragraphs | |
| sentences_per_paragraph | No | Sentences per paragraph |
| Name | Required | Description | Default |
|---|---|---|---|
| text | Yes | ||
| count | Yes | ||
| paragraphs | Yes |
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 exist, so the description must disclose behavioral traits. It only states it uses Faker but does not mention randomness, determinism, seed support, or any side effects. The tool's behavior (e.g., reproducibility) is unclear.
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, short sentence that is efficient and to the point. It could be slightly expanded to include context, but it does not waste words. Front-loading is adequate.
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?
Given the tool's simplicity (2 parameters, output schema present), the description is minimally complete but lacks essential context about how this tool differs from many similar siblings. It does not cover behavioral aspects or provide selection guidance, making it incomplete for an agent.
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?
Schema coverage is 100%, and the description does not add extra meaning beyond what the schema already provides for the two parameters. The baseline of 3 is appropriate, as the description adds no additional insight.
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 the action ('Generate') and the resource ('lorem ipsum text using Faker'). However, it does not differentiate from sibling tools like lorem_paragraphs or lorem_sentences, which also generate lorem ipsum. The parameters imply configurability, but the description misses the nuance of customizable structure.
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?
There is no guidance on when to use this tool versus similar siblings like lorem_paragraphs, lorem_sentences, or generate_lorem_words. No usage context, prerequisites, or alternatives are mentioned, which hinders tool selection.
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.
Many tools have overlapping purposes, such as multiple random generators (random_integer, random_number), duplicate hashing functions (hash_md5, md5_checksum), and near-identical tools (compare, compare_2, compare_decimals). The sheer number of tools and lack of clear boundaries make it difficult for an agent to differentiate.
Naming is highly inconsistent. There are duplicate tools with different names (camel_case vs to_camel_case, slug vs slugify), arbitrary suffixes like '_2', and mixing of patterns (e.g., generate_password vs password_entropy). No clear convention is followed.
With 572 tools, the server is massively overpopulated for any coherent purpose. It includes trivial endpoints (true_endpoint, null, hello_world) and numerous duplicates, far exceeding a well-scoped utility set.
While the server covers many domains (math, strings, dates, colors, etc.), the presence of duplicate and trivial tools indicates a lack of thoughtful curation. There are gaps in basic operations (e.g., no dedicated file or network tools), and many tools are redundant.
