Generate random text using Faker.
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | Type: word, words, sentence, sentences, paragraph, paragraphs, text | paragraph |
| count | No | Number of items (words, sentences, or paragraphs) | |
| locale | No | Locale for text generation |
| Name | Required | Description | Default |
|---|---|---|---|
| type | Yes | ||
| value | Yes | ||
| locale | 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?
With no annotations provided, the description carries full burden. It only mentions 'using Faker', which hints at reproducibility but does not disclose behavior like whether results are deterministic, performance considerations, or that it supports localization. Output schema exists but does not compensate for missing behavioral context.
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, highly concise with no wasted words. It is front-loaded with the action and resource. Could benefit from a brief usage hint but structure is clean.
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, full parameter descriptions, and presence of output schema, the description is mostly adequate. However, it lacks any usage context distinguishing it from the many sibling random generators, which would help 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?
Schema description coverage is 100%, meaning all parameters (type, count, locale) have descriptions. The tool description adds no additional meaning beyond the schema, so baseline 3 is appropriate.
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?
Description states 'Generate random text using Faker', clearly indicating the verb 'generate' and resource 'random text'. It distinguishes from siblings like lorem_words (Lorem Ipsum) and random_string (typed random strings) by implying a general Faker-based text generator.
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 on when to use this tool versus alternatives like lorem_words, random_string, etc. The description does not mention any context or limitations. This omission could lead to incorrect 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.
