Random-Generator
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TDQS
Scored across 7 tools
Every tool has a clearly distinct purpose targeting specific random generation tasks (boolean, bytes, choice, float, integer, string, UUID). There is no overlap or ambiguity between tools, as each handles a different data type or selection method with cryptographically secure randomness.
All tools follow a consistent verb_noun pattern with 'generate_random_' prefix (or 'generate_uuid'), using snake_case throughout. The naming is highly predictable and readable, making it easy to understand each tool's function at a glance.
With 7 tools, this is well-scoped for a random generation server, covering common use cases without bloat. Each tool earns its place by addressing a specific random generation need, making the set comprehensive yet manageable.
The tool surface provides complete coverage for random generation in a typical programming context, including booleans, bytes, choices, floats, integers, strings, and UUIDs. There are no obvious gaps, and agents can handle most random generation tasks without dead ends.