get_random_number

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the burden of behavioral disclosure. It accurately communicates the core behavior (randomness and a range), but it does not clarify whether the endpoints are inclusive, whether the result is an integer or float (apart from any output schema), or what happens if 'start' exceeds 'end'.

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, front-loaded sentence with no wasted words. It delivers the essential action and the two key parameters immediately.

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 stateless utility, the combination of description and schema is sufficient for normal invocation. An output schema exists to document the return value, and the only notable gap is edge-case behavior around endpoint inclusivity and 'start'/'end' ordering, which is minor at 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 input schema has no descriptions for either parameter, so the description must add meaning. It does: 'start' and 'end' clearly define the inclusive?—at minimum, boundary—range endpoints. Defaults are already visible in the schema, so the description need not repeat them.

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 states a specific verb ('returns') and a clear resource: a random number bounded by 'start' and 'end'. No sibling tool appears related to random generation, so the tool's identity is unambiguous and it is easily distinguished from its siblings.

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 intended use is implied: call this tool when a random number in a given range is needed. However, the description provides no explicit guidance about when not to use it or which alternative to prefer, and no exclusions or prerequisites are stated.

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