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 the bidirectional behavior but does not disclose what happens with conflicting inputs (both text and value), precision application (formatting only or both), or error handling. The description is too terse for full transparency.

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?

Two sentences with a clear purpose statement and a usage hint. Every word contributes value. No fluff.

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 conversion tool, the main functionality is covered. However, without an output schema, the description should explain what the tool returns (e.g., string for format, number for parse) and any limitations. It also lacks details on error handling or precision behavior.

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 zero description coverage, so the description must compensate. It hints at the roles of 'text' (parsing input) and 'value' (formatting input), and 'precision' (rounding), but does not explicitly map each parameter or explain expected formats. This is marginal improvement over raw schema.

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 explicitly states the bidirectional functionality: formatting bytes to human-readable size and parsing human-readable strings to bytes. This clearly distinguishes it from sibling tools like base64_encode or hex_encode.

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 includes a 'When:' clause that tells when to use it ('Format or parse human byte sizes'). It implies the context but does not explicitly state when not to use it or provide alternatives. Given the diverse sibling tools, this is sufficient for an agent.

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