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

The description discloses the single most surprising and important behavioral trait: "opens nothing by itself" — it returns instructions, not results, and the agent must follow up with browser tools. That is exactly the kind of context annotations cannot convey (readOnlyHint alone would misleadingly suggest a read that returns data). It also adds the API availability caveat (not self-serve) so the agent understands why the browser path is the route.

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?

Front-loaded and efficient: the function is stated first, then the critical "opens nothing by itself" caveat, then the follow-up tooling. The closing API sentence is defensible as a preemption but carries a distracting timestamp ("checked 11 Oct 2026") that does not help the agent invoke the tool.

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 output schema, the description carries the return-value burden and does so adequately by describing the output as step-by-step screens/buttons/fields. With zero parameters and annotations already covering the safety profile, the remaining gap is minor: no indication 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 the baseline is 4 and there is nothing for the description to disambiguate. The description correctly avoids inventing parameter discussion that the empty schema does not support.

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 eventually makes the real function explicit: it returns step-by-step Rent Manager instructions (screens, buttons, fields) for listing tenants rather than returning tenant data itself. The opening clause ("List tenants in the user's own Rent Manager account from ChatGPT, Claude or any AI agent") describes the user's goal rather than the tool's behavior, which briefly muddies the purpose before sentence two corrects it. Still, an agent can distinguish this from the cotlet_browser_* siblings because the description names them as the follow-up executor.

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 explicit workflow guidance: use this to get the how-to, then perform the action with the cotlet_browser_* tools in the Cloud Browser. That is clear sequencing with a named alternative for the execution step. It does not state exclusions (e.g., when to skip this and navigate directly, or when another rent_manager_* guidance tool applies), so it stops short of full when/when-not coverage.

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