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

Annotations already establish that this is a read-only, non-destructive, open-world operation. The description adds useful behavioral context beyond the annotations: it discloses a 2-credit cost, mentions paid-plan batch limits, and notes that each request returns generated comment text with optional emoji support.

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 appropriately sized and front-loads the core purpose, tone coverage, output behavior, and credit cost. The only minor flaw is the redundant opening repetition of 'Comment Generator'.

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?

Given that an output schema exists and annotations cover safety characteristics, the description is nearly complete. It explains generation scope, tone options, emoji support, batch limits, and cost, with only minor room for explicit mode or alternative-tool guidance.

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 100%, so the baseline is 3, but the description adds meaningful parameter context beyond the schema: it names the positive, negative, and neutral tone options, clarifies text versus image post formatting, and reinforces the maximum batch size of 10.

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 states a specific verb and resource: it produces social media comments formatted for text or image posts and supports positive, negative, and neutral tones. It is clear what the tool does, though it does not explicitly distinguish itself from nearby generator siblings such as ComplimentGenerator or EmojiDecorator.

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 social media comment context is clear, but there is no explicit when-to-use guidance, no exclusions, and no named alternatives among the many sibling generators. Usage is therefore implied rather than directed.

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