conversion_bytes_to_human

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

No annotations are provided, so the description carries the full behavioral burden and it is silent on meaningful traits: whether units are base-1024 (KiB) or base-1000 (KB), how precision/rounding is applied, and how small or huge values are handled. The example implies two decimal places, which is a partial hint, but the rounding and base conventions remain undisclosed.

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?

A single front-loaded sentence with an inline example; every element earns its place and nothing is padded or buried.

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?

With an output schema present, the return value need not be explained, and a one-parameter pure conversion needs little else. The only shortfall is the missing convention detail (base and rounding), which an agent could need to predict output exactly.

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%, so the description must compensate; it only restates the parameter as 'a byte count', adding no units, range, or formatting meaning beyond the self-evident `bytes: integer`. The parameter name and type do most of the work here.

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?

States a specific verb and resource: converting a byte count into a human-readable string, with a concrete example ('1.00 KB') that pins down the output style. The purpose is unmistakable, though the description offers no explicit differentiation from the many other conversion_* 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?

There is no explicit when-to-use or when-not-to-use guidance, and no alternatives are named. Usage is strongly implied by the name and description (feeding a raw byte count in whenever a readable size is needed) and the sibling set contains no overlapping tool, so the omission is low-risk but still a gap.

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