data_storage_converter

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It does not mention whether the operation is read-only, what the return value looks like, any side effects, or assumptions (e.g., base-1024 vs base-1000). For a simple conversion tool this may be less critical, but the absence of any behavioral details leaves the agent guessing.

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 extremely concise, a single sentence that front-loads the main action and units. However, it is so sparse that it sacrifices necessary detail. It earns points for brevity but loses for under-specification, as key parameter semantics and usage context are missing.

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 tool with no annotations, no output schema, and minimal schema descriptions, the description is insufficient. It does not cover the return format, unit case sensitivity, or conversion conventions. While the tool is conceptually simple, the description leaves too much to inference, making it incomplete for an agent that needs to call it correctly.

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 lists 'Input: value, from, to' but only repeats the parameter names from the schema. It does not explain that 'from' and 'to' expect unit strings like 'KB' or 'MB', nor does it clarify the meaning of 'value'. The unit list in the first sentence gives a hint, but it is not explicitly mapped to the parameters, leaving room for misinterpretation.

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 action ('Convert') and the resource (data storage units b/B/KB/MB/GB/TB). This distinguishes it from sibling converters like length_converter or weight_converter, which handle different unit families. It is specific and not a tautology, though it could be more explicit about converting between the listed units.

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 provides no explicit guidance on when to use this tool versus alternatives. While the unit list implies it is for data storage, there is no mention of when not to use it or how it compares to sibling converters. An agent must infer applicability from the unit names alone, which is insufficient for clear routing.

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