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 still adds non-obvious value: it states the tool 'opens nothing by itself' and that its return is a procedural step-by-step guide rather than shop data, which is the single most important fact an agent needs before calling it.

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 operative content is front-loaded, but the definition is padded: 'from ChatGPT, Claude or any AI agent' is filler, and the closing paragraph about Kalodata's official Open API, credit billing and a 'checked 5 Nov 2026' date has no bearing on invoking this tool. Those sentences do not earn their place.

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, the description reasonably explains what comes back (screens, buttons, fields) and what the agent must do next. The notable gap is that with no parameters it never explains how the target shop is determined (presumably the active browser session), nor what happens if the shop cannot be located.

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 input schema is an empty object, so there are no parameter semantics to explain. Baseline for a 0-param tool applies, and nothing in the description misrepresents the inputs.

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 (shop details in Kalodata) and reveals the real behavior in its second clause: it 'Returns how to do it in Kalodata step by step (screens, buttons, fields)'. That clarification is useful, but it sits in tension with the opening 'Get shop details', which implies data retrieval, and it does not differentiate this tool from the sibling kalodata_get_product_details or the kalodata_list_top_* tools.

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?

'then do it with the cotlet_browser_* tools in the user's Kalodata Cloud Browser' establishes the follow-on workflow, which is genuine when-to-use context. However, nothing says when to prefer this over kalodata_list_top_shops or kalodata_get_product_details, and there are no prerequisites or exclusions stated.

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