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

Annotations already declare readOnlyHint=true and destructiveHint=false, so safety is covered; the description adds the non-obvious behavioral fact that this tool performs no UI action and only returns a procedure, which resolves the tension between the mutation-flavored name and the read-only annotation. It also explains why browser automation is the execution channel (no self-serve API key or onboarding guide found). What is missing is any note on how the returned procedure is scoped or whether it varies by account configuration.

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 action and immediately followed by the important caveat that it opens nothing itself. The opening clause "from ChatGPT, Claude or any AI agent" is marketing padding that does not help an agent decide or invoke, but the rest of the text is dense and purposeful.

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 full annotation coverage, the description supplies everything needed to call it correctly: what it returns (screens, buttons, fields), what it does not do, and what tool class must follow. The only gap is that it never characterizes the content or variability of the returned procedure, which matters for an agent planning the follow-up browser steps.

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 in the schema for the description to explain or contradict. The description correctly does not invent parameter guidance, but it also does not say how the specific booking rules to set are conveyed to the tool, which is the one semantic question a zero-param design raises.

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?

States a specific verb and resource ("Set booking rules in the user's own Paired Plus account") and then immediately clarifies the actual mechanic: it returns step-by-step instructions rather than performing the change. That clarification is what distinguishes it from siblings like paired_plus_configure_promotion or paired_plus_set_service_pricing, though the description never names a sibling explicitly.

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?

Gives a clear usage path: call this to get the screens/buttons/fields, then execute with the cotlet_browser_* tools in the user's Cloud Browser, because "it opens nothing by itself." That is actionable when-to-use guidance plus a required follow-up step. It stops short of stating when NOT to use it or which sibling to pick for adjacent booking settings.

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