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, yet it discloses nothing about input requirements, return format, units, precision, or error behavior. For a computation tool with zero annotation coverage this is a complete gap.

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?

It is short, but it is under-specified rather than concise; the single sentence is a redundant echo of the name and earns no place.

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 three undocumented parameters, no annotations, and no output schema, the description leaves an agent unable to call the tool correctly or interpret its result. This is entirely inadequate.

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 coverage is nominally 100%, but the parameter descriptions are meaningless placeholders ('N to process', 'Side to process', 'Sides to process'), and the description adds no clarification of the ambiguous overlap between 'n' and 'sides' or whether 'side' is a length. The description fails to compensate for schema text that conveys no real semantics.

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 'Regular Polygon Area: Area of regular polygon' merely restates the tool name and adds nothing, which is the definition of a tautology. An agent learns only that it computes an area, not which shape parameters matter or how it differs from siblings like x402-polygon-area or x402-regular-polygon-perimeter.

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 guidance on when to use this versus the many nearby siblings (x402-regular-polygon-perimeter, x402-regular-polygon-interior, x402-regular-polygon-exterior, x402-polygon-area). No context, prerequisites, or exclusions are stated.

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