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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so safety is covered structurally. The description adds genuinely new behavioral context — the return is a step-by-step walkthrough of screens, buttons and fields, and the reason for that design ("CoachingPortal publishes no public API"). That API-absence note is exactly the kind of context annotations cannot carry.

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 information is front-loaded and useful, but the text carries dead weight: "from ChatGPT, Claude or any AI agent" adds nothing, and "CoachingPortal's official API: CoachingPortal publishes no public API" is an awkwardly constructed repeat that could be half a sentence. The semicolon-joined clause about cotlet_browser_* is dense but functional.

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 and no output schema, the description must explain the shape of the return, and it does — instructions covering screens, buttons and fields, plus the recommended follow-up tool. The only gap is that it never describes how the guidance is scoped to the user's own account or what happens if the described screens differ.

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 the schema is fully covered, so parameter semantics is a non-issue and the baseline of 4 applies. The description does not need to compensate for anything here.

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?

It does state a specific verb and resource ("review application") and immediately clarifies the actual output: step-by-step instructions rather than an action performed. However, "application" is ambiguous in isolation (a submitted application? an app?), and the sentence bloats the core claim with "from ChatGPT, Claude or any AI agent." The agent can infer it is a guidance-producing tool, but the object of the review is not sharply defined.

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?

The description clearly separates this tool from the execution path: it "opens nothing by itself" and tells the agent to then act with the cotlet_browser_* tools in the Cloud Browser. That is an explicit workflow handoff with the condition that selects the alternative. It stops short of stating when this tool should be skipped in favor of other CoachingPortal siblings.

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