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

With no annotations, the description carries the transparency burden. It discloses that the tool analyzes and presents suggestions, and that it is browser-based, suggesting a non-destructive, local analysis. However, it does not explain how data is handled, what output format looks like, or any limitations, leaving significant behavioral aspects unspecified.

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 a single, compact sentence that front-loads the primary action and outcomes, with an informative parenthetical about it being browser-based. Every word earns its place; there is no redundancy or unnecessary detail.

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, parameterless tool, the description is moderately complete but leaves gaps. It does not specify how the article is provided (URL, pasted text, browser context), what the output looks like, or any prerequisites. The lack of annotations and output schema further increases the need for such details, which are missing.

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 has 0 parameters, so the baseline for this dimension is 4. The description adds value by enumerating the conceptual dimensions being analyzed (CTA placement, link density, read rate), which helps the agent understand what the tool computes even though no explicit parameters exist.

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 clearly states the tool's function: analyzing CTA placement, link density, and read completion rate, then presenting improvement points for conversion rate. It uses specific verbs and resources, and differentiates itself from siblings like sales-writing-analyzer by focusing on these concrete metrics.

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 implies usage when one wants to improve an article's conversion rate, and the 'Browser-based tool' note hints at context. However, it provides no explicit when-to-use/when-not-to-use guidance or comparisons to alternative tools, leaving usage largely implied rather than clearly instructed.

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