random_float

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 describes the output behavior (generates a random float) and range constraint, but doesn't mention distribution (likely uniform), determinism, or seed behavior. For a zero-parameter tool with no annotations, this is adequate but not comprehensive.

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?

Extremely concise single sentence with no wasted words, front-loading the core functionality. The parenthetical domain/category adds useful metadata without bloating the description.

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?

For a simple zero-parameter random number generator with no output schema, the description provides sufficient context: what it does, output range, and domain. It could mention the distribution (uniform) or lack of seed control, but overall it's reasonably complete for this complexity level.

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?

The tool has zero parameters with 100% schema description coverage (empty schema). The description doesn't need to explain parameters, but it does clarify the output range constraint which is semantically relevant. Baseline for zero parameters is 4.

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 specific action ('Generate a random float') and the exact range ('between 0 and 1 (exclusive of 1)'), distinguishing it from sibling tools like random_int or random_array. It also includes domain/category context that helps with tool selection.

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 implicitly indicates when to use this tool (when needing a random float in [0,1)) but doesn't explicitly mention when not to use it or name alternatives like random_int. However, the domain/category hint provides some contextual guidance.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.