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

Annotations already declare readOnlyHint, idempotent and non-destructive; the description goes beyond them by disclosing that the tool performs no action ('opens nothing by itself') and returns procedural guidance (screens, buttons, fields) rather than stats. It does not explain the shape or detail of the returned guidance, which is the main behavioral question left for an agent.

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 clarification is front-loaded in the second sentence, which is good, but the text is rambling and includes a low-value trailing note about the official API with a stale-looking date. The phrase 'in the user's own Plausible account from ChatGPT, Claude or any AI agent' is filler that does not help selection.

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 output schema, the description must carry the return-value burden, and it only broadly says 'step by step (screens, buttons, fields)'. It never explains how the agent indicates which site or which stats are wanted despite having no parameters, which is a real gap for a zero-arg guidance tool.

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 schema is fully specified, so there is nothing for the description to disambiguate. Baseline 4 applies; the description adds no parameter meaning because none exists.

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 eventually clarifies that the tool returns step-by-step instructions for getting site stats in Plausible, but it opens by claiming it will 'get site stats', which reads like it fetches data. The real behavior is only pinned down in the second clause ('returns how to do it in Plausible step by step'), so an agent must parse a contradiction between the name/title and the description to understand the purpose.

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?

It states a workflow: read the steps here, then act via cotlet_browser_* in the user's Plausible Cloud Browser, and notes it 'opens nothing by itself'. The aside about Plausible's limited official API hints at why this route exists, but there is no explicit when-to-use/when-not-versus alternatives (e.g., plausible_get_top_pages or plausible_get_traffic_sources for actual data) and no prerequisites or required user context.

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