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

Annotations already declare readOnlyHint=true, idempotentHint=true, openWorldHint=false, and the description is consistent with that profile while adding real context: the tool performs no action itself, it returns screens/buttons/fields, and it requires the Appointy Cloud Browser for execution. The plan-tier note further explains the constraint behind the browser-based approach. It does not describe output format or length, which keeps it below a 5.

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 message is front-loaded in the first two sentences and is efficient. However, filler like "from ChatGPT, Claude or any AI agent" and the dated API-plan footnote ("checked 8 Nov 2026") add words without helping invocation, and the note could be compressed to a clause.

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 input parameters and no output schema, the description carries the burden of explaining the return value, and it does so: step-by-step instructions covering screens, buttons, and fields. It also explains the execution dependency on cotlet_browser_* tools, so an agent knows what to do next. Minor gap: no sense of how detailed or long the returned guide is.

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?

There are zero parameters and additionalProperties is false, so there is no parameter semantics to explain. The description correctly implies a parameterless call with no account or workspace selection, warranting the baseline score.

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 and resource ("List customers in the user's own Appointy account") and then clarifies the actual deliverable: step-by-step instructions rather than data. The first sentence overstates what the tool returns, but the second corrects it by stating it "opens nothing by itself" and hands off to cotlet_browser_* tools, so an agent can still tell what it gets back.

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 gives a clear two-step workflow: call this tool for guidance, then execute with cotlet_browser_* tools in the user's Appointy Cloud Browser. It also explains why the browser path is required (Appointy exposes private API access only on Enterprise), which is useful selection context. It stops short of explicit when-not conditions or naming a competing guide tool.

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