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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, and the description stays consistent by stating it "opens nothing by itself." It adds real value beyond the annotations by describing the return content (screens, buttons, fields) and by noting FitBudd has no public API, which explains why the browser path exists.

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 point is front-loaded, but the single dense sentence wraps the actual behavior in the middle of a semicolon chain. The "from ChatGPT, Claude or any AI agent" clause is promotional filler, and the API remark, while useful, crowds the routing instruction.

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, read-only guidance tool with no output schema, the description covers what it returns, what it does not do, and what the agent should do next. Only the boundary against other guide-style siblings is left unstated.

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 no parameters, so the schema has nothing to disambiguate and the baseline of 4 applies. Nothing in the description contradicts or complicates the empty input object.

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 the resource and the account context ("Add client note in the user's own FitBudd account") and then clarifies the actual behavior: it returns step-by-step instructions rather than performing the add. That distinction is spelled out explicitly, so an agent won't mistake it for a mutating tool even though the name implies one.

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 follow-up path: call this first for the procedure, then execute it with the cotlet_browser_* tools in the FitBudd Cloud Browser. It doesn't name exclusions or contrast itself with cotlet_app_guide, so an agent must infer whether the generic app-guide sibling is the better choice.

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