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

The annotations already mark the operation as read-only, and the description adds useful context by stating that a converted Excel file is returned and that each call costs 1 point. It does not document limits or error behavior, but these are minor for a simple conversion tool with readOnlyHint set.

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 short and front-loaded with the core purpose, followed by input-format guidance and cost notice. The Korean sentence repeats the English statement, adding minor redundancy, but the overall structure remains efficient and scannable.

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 two-parameter conversion tool, the description covers purpose, input shapes, return behavior, and cost. There is no output schema, but the output type is explicit in the description. Minor details like default sheet_name or row-count validation are already partially covered by the schema.

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 100%, so the schema already documents both parameters. The description adds value by giving concrete examples of the two supported data_list formats and clarifying that the output is an XLSX file; sheet_name semantics are left to the schema, which is sufficient.

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 uses a specific verb (convert) and resource (JSON to Excel/XLSX), and states that the result is returned. It also names the supported input shapes, which makes the tool's function unambiguous and distinguishes it from file-conversion siblings like docx_to_pdf or pdf_to_image.

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 conveys when to use the tool: whenever JSON data needs to be converted to Excel. It also gives concrete guidance on accepted data_list formats and mentions the per-call cost. It does not explicitly name alternative tools or state when not to use it, but no direct sibling performs this conversion.

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