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

Annotations already establish readOnlyHint=true and non-destructive, and the description is consistent with them while adding real context: the tool 'opens nothing by itself' and returns screens/buttons/fields, and the Enterprise-only private API note explains why browser automation is required. That is meaningful behavioral disclosure beyond the annotations. It stops short of 5 because it does not describe whether the steps are account-specific, how current they are, or what happens if the user's plan differs.

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?

Three sentences, front-loaded with the core action and the critical 'opens nothing by itself' caveat. The phrase 'from ChatGPT, Claude or any AI agent' is audience filler that earns no place, but the API/plan note is compact and justifies the browser-based follow-up, so overall the text is tight.

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 zero parameters, no output schema, and strong annotations, the description carries little remaining burden, and it does state the return shape (steps with screens, buttons, fields) and the required follow-up tool family. A small gap remains: it does not say whether a browser session must already be open (e.g., via cotlet_browser_open) before the cotlet_browser_* calls succeed.

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, so the baseline is 4; there is nothing for the description to disambiguate and no schema coverage gap to compensate for. The absence of parameters is itself consistent with a tool that only returns static guidance.

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 names a specific verb+resource (find free slots in the user's own Appointy account) and then redefines the operation precisely: it returns step-by-step instructions rather than slot data. The parenthetical 'opens nothing by itself' resolves what would otherwise be a misleading name. It falls short of 5 because the title/name and the actual behavior (returns a guide, not availability data) are in tension, which the description corrects only after the first read.

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 gives a sequencing rule — call this, then 'do it with the cotlet_browser_* tools in the user's Appointy Cloud Browser' — which implies when to use it. However, it never explicitly contrasts itself with siblings such as appointy_book_appointment or cotlet_app_guide, so an agent must infer which tool actually performs the lookup/booking versus which just documents it.

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