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

No annotations are provided, so the description carries the full disclosure burden. It says nothing about whether the text is modified in place, whether it returns a corrected string or a list of flagged issues, what languages are supported, or how style is judged. Naming the check categories is the only behavioral signal.

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?

One tight sentence with no filler, and the core action is front-loaded before the list of check categories. Nothing is redundant, though it is arguably too terse for the disclosure gaps noted elsewhere.

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 no annotations and no output schema, the description should explain the result shape (corrected text vs. issue list), which it entirely omits. For a text-processing tool that another sibling (text_diff, summarize_text) could plausibly return a transformed string, this ambiguity matters.

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 0% and the single 'text' parameter is documented only as a bare string. The description does not compensate with any constraints such as length limits, expected language, or whether Markdown/HTML is accepted, leaving the one input under-specified.

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 pairs a specific verb ('Proofread') with a specific resource ('text') and enumerates the checks performed (grammar, spelling, punctuation, style), so the agent knows exactly what the tool does. However, it offers no differentiation from adjacent text tools such as analyze_readability, analyze_sentiment, or summarize_text, which share the same input shape.

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 statement of when to reach for this tool versus the many other text-analysis siblings, and no prerequisites or exclusions are given. The agent must infer usage purely from the verb.

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