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

The description discloses the specific transformations performed (whitespace/comments removal, variable name shortening), going beyond the readOnlyHint annotation. It does not mention any caveats, but the annotation already covers non-destructiveness, so the bar is lower.

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 concise sentences that front-load the verb and purpose, followed by a clear use case. No redundant words and every sentence adds value.

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 single-parameter tool with no output schema, the description adequately covers what it does and when to use it. It could mention the return value explicitly, but the tool's name and purpose make it obvious that it returns the minified code.

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 already fully describes the single parameter ('code' with description 'JavaScript code to minify'). The description reiterates 'JavaScript code' but adds no additional meaning beyond what the schema provides, so the baseline of 3 is appropriate.

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 ('Minify') with a clear resource ('JavaScript code') and explains what it does (removing whitespace, comments, shortening variable names). This clearly distinguishes it from sibling tools like transform_minify_css and transform_code_format.

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?

Provides clear context for when to use the tool ('optimizing bundle size for production deployment'), giving a concrete scenario. It does not explicitly mention alternatives or exclusions, but the use case is specific enough to guide selection.

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