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

Annotations already declare readOnlyHint=true, idempotentHint=true and openWorldHint=false, so safety behavior is fully covered structurally. The description adds only that the payload is a platform-name string list; it says nothing about ordering, stability, or auth requirements, and the bilingual line adds no behavioral information.

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 core purpose and value examples are front-loaded in one sentence, which is good structure. The duplicated Korean restatement and the 'Returns' block are filler that add no information beyond the name and the output schema.

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 parameterless enumeration tool with an output schema and full annotation coverage, the description is sufficient to call it correctly. The only real gap is that it never says what to do with the returned platform identifiers.

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 tool takes zero parameters and the description correctly implies no input is needed, so there is nothing for parameter semantics to miss. Baseline 4 applies.

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+resource ('List all supported platforms') and enumerates concrete example values (ClaudeCode, Cursor, CodexCLI...), so an agent immediately knows what it gets back. It does not explicitly distinguish itself from siblings like list_categories, though the resource name makes the difference inferable.

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 statement, no mention of alternatives, and no note that the returned identifiers are the valid input for sibling tools such as validate_compatibility. Usage is only implied by the parenthetical enumeration of platform values.

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