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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, so safety is partly covered; the description still adds real value by stating it 'opens nothing by itself' and by describing what is returned (steps with screens, buttons, fields). It also explains why there is no direct execution path (no public API for Little Hotelier customers). Remaining gap: no statement about whether a connected Cloud Browser session or authentication is required before the follow-up steps will work.

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 disclosure (returns steps, opens nothing) is front-loaded, but the opening clause 'from ChatGPT, Claude or any AI agent' is filler and the API sentence is an awkward fragment placed at the end. The middle sentence carries two distinct ideas joined by a semicolon, which reads as compressed rather than organized.

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 parameters, no output schema and read-only annotations, the main things an agent needs are what the call yields and what to do next, and the description covers both. It does not state the format or granularity of the returned instructions beyond 'screens, buttons, fields', nor any precondition on the Cloud Browser session.

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 schema coverage is 100%, so there is nothing for the description to disambiguate; baseline 4 applies. The description does not address the implicit question of how guest/booking context is conveyed given an empty schema, but that is a design property rather than a documentation miss it could fix.

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 resource (guest messaging in the user's Little Hotelier account) and then explicitly reframes the actual behavior: it 'Returns how to do it in Little Hotelier step by step' rather than sending anything. That clarification is what makes the purpose unambiguous despite the verb 'message' suggesting an action. It does not contrast itself against the sibling Little Hotelier tools (e.g. list_bookings, create_booking), so an agent must infer why this one is guidance-only while others appear to act.

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 an explicit two-step workflow: call this to get the screens/buttons/fields, then perform the action with the cotlet_browser_* tools in the user's Little Hotelier Cloud Browser. That is strong sequencing guidance naming the alternatives to use afterward. It stops short of saying when to skip the tool (e.g. if the agent already has the UI steps) or what prerequisites the Cloud Browser session needs.

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