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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description adds genuinely new behavioral facts beyond that: the tool performs no action itself ('opens nothing by itself'), its return value is procedural guidance, and there is no official API fallback. That is real added context, not repetition.

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 behavior and the handoff to the browser tools are front-loaded and useful. However, the opening clause ('from ChatGPT, Claude or any AI agent') is padding that adds no decision value, and the trailing API note reads as an afterthought rather than an integrated constraint.

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 carries only the burden of explaining what comes back and what to do next, and it does both. It does not describe the shape of the returned steps (for example whether they are numbered or per-page), but that is a minor omission for a no-arg guidance tool.

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 schema has zero parameters, so there is no parameter meaning for the description to carry; the baseline of 4 applies. The description correctly implies no inputs are required to obtain the instructions.

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 a specific verb and resource ('Get dashboard') and then reframes the actual behavior: it returns step-by-step instructions (screens, buttons, fields) rather than dashboard data. That correction is essential because the name alone would mislead. It does not differentiate this from the many other coachingportal_get_* siblings, which is the only gap.

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 usage flow: call this to learn the procedure, then execute it with the cotlet_browser_* tools in the Cloud Browser. That explicitly names the follow-up mechanism. It stops short of stating when to prefer this over a direct API call other than the note that no public API exists, and it offers no exclusion relative to sibling coachingportal_* tools.

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