random_uuid
Generate random UUID(s).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | Number of UUIDs to generate | |
| version | No | UUID version (1 or 4) |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | ||
| value | No | ||
| values | No | ||
| version | No |
Generate random UUID(s).
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | Number of UUIDs to generate | |
| version | No | UUID version (1 or 4) |
| Name | Required | Description | Default |
|---|---|---|---|
| count | No | ||
| value | No | ||
| values | No | ||
| version | 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?
No annotations are provided, so the description must bear the burden of behavioral disclosure. The description only says 'Generate random UUID(s)' without explaining side effects, permissions, or output details. The input schema covers parameters, but the description adds no extra insight into behavior beyond the obvious.
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, clear sentence with no wasted words. It is appropriately short for a simple tool, though a tiny addition like 'with optional count and version' would improve clarity without bloat.
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, no required fields, output schema present), the description is adequately complete. The input schema and output schema provide the structural information, and the description captures the main purpose.
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%, so a baseline of 3 applies. The description does not add any additional meaning to the parameters (count, version) beyond what the schema already documents.
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 'Generate random UUID(s)' clearly states the action (generate) and resource (random UUIDs). It is specific enough to distinguish from many siblings, though the presence of similar tools like generate_uuid, generate_uuids, and generate_uuid_v7 means slight ambiguity remains.
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 to use this tool versus its many siblings. There are several UUID generation tools (e.g., generate_uuid, generate_uuid_v7), but the description does not indicate any selection criteria or context.
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.