random_int
Random integer in inclusive range (optional seed).
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| seed | No | ||
| max_val | Yes | ||
| min_val | Yes |
Random integer in inclusive range (optional seed).
| Name | Required | Description | Default |
|---|---|---|---|
| seed | No | ||
| max_val | Yes | ||
| min_val | 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 are provided, so the description carries the full burden. It mentions 'inclusive range' and 'optional seed' but does not disclose whether the RNG is cryptographically secure, behavior on invalid inputs (e.g., min > max), or whether seeds produce deterministic sequences. Minimal 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 six-word sentence: 'Random integer in inclusive range (optional seed).' It is extremely concise, front-loaded, and contains no unnecessary words.
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 (3 params, no output schema), the description covers the essentials: what it generates, the range, and the seed parameter. However, it lacks details on return type (integer), uniform distribution, or edge cases like when min > max. Adequate but not thorough.
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 0%. The description adds meaning beyond the schema by clarifying 'inclusive range' for min_val and max_val and noting that seed is optional. It does not explain the effect of the seed (e.g., deterministic sequences), but partially compensates for the low coverage.
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 'Random integer in inclusive range (optional seed),' specifying the verb ('random') and the resource ('integer'), and distinguishes it from sibling tools like 'random_string' by indicating it generates integers.
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?
The description does not provide explicit guidance on when to use this tool versus alternatives or mention any exclusions. Usage is implied by the name and description, but no context for when-not-to-use or alternatives among siblings.
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.