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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and the description reinforces this with the concrete claim 'opens nothing by itself' — useful confirmation that the call has no side effects and no browser is launched. It also discloses a non-obvious constraint (Jane's official API is limited to approved Technology Partners), explaining why browser automation is the route. It stops short of describing the shape of the returned steps.

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 key behavioral point ('opens nothing by itself') is placed mid-sentence rather than front-loaded, and the opening clause about ChatGPT, Claude or any AI agent is filler. The dated API note ('checked 27 Oct 2026') is tangential but does carry some justification value for why this is a browser task.

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?

For a zero-parameter, no-output-schema tool with rich annotations, the description covers what the agent gets back (screens, buttons, fields), that nothing is opened, and what to do next. Minor gaps: no mention that a Cloud Browser session must already exist, and no sense of how long or structured the returned guidance 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?

The tool takes zero parameters, so there is nothing for the description to disambiguate; baseline 4 applies. The description does not waste words inventing parameter semantics that do not exist.

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 states the resource (appointments in the user's Jane App account) and, crucially, corrects the misleading verb in the name: the tool returns step-by-step instructions rather than appointment data. That distinction is explicit, though the opening sentence 'List appointments...' still reads as if it fetches records, so an agent must read further to learn the real output.

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 follow-on path ('then do it with the cotlet_browser_* tools in the user's Jane App Cloud Browser'), which implies this tool is a prerequisite step before browsing. However, it never states when NOT to use it, and it does not distinguish itself from the similar sibling cotlet_app_guide, leaving the agent to guess which guidance tool to pick.

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