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

Beyond the annotations it discloses the concrete payload shape (screens, buttons, fields), the crucial fact that it 'opens nothing by itself', and an external-API constraint with a verification date. That is real added context an agent could not infer from readOnlyHint/idempotentHint alone. It falls short of 5 because it says nothing about response size, ordering, or failure modes when the Toast UI differs from the recorded steps.

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 operational facts are front-loaded reasonably, but the opening clause about ChatGPT, Claude or any AI agent is marketing padding that earns no place, and the sentence chains three unrelated ideas with semicolons. The parenthetical API check date is dropped in without explaining how it should affect the agent's decision.

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 helper the description covers what it returns, what it does not do, and the next tool to reach for. The main residual gap is that the agent still cannot tell this apart from cotlet_app_guide, which given the sibling list is the most likely mis-selection.

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 declares zero parameters with additionalProperties false, so there is nothing for the description to disambiguate. Baseline 4 applies since parameter meaning is fully settled by an empty, closed schema.

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 does state what happens — 'Returns how to do it in Toast step by step (screens, buttons, fields) and opens nothing by itself' — which reveals this is a guidance tool, not a data lister. But the name and title both say 'List menus', so an agent must read past the label to learn the tool returns instructions rather than menu data. It also never distinguishes itself from the sibling cotlet_app_guide, which appears to serve the same guidance role.

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?

There is a usable two-step pattern implied: call this to get the procedure, then execute it with 'the cotlet_browser_* tools in the user's Toast Cloud Browser'. That is genuine routing guidance to alternatives. However, it never says when NOT to use this (e.g. versus cotlet_app_guide or toast_list_menu_items), nor any prerequisite such as the Cloud Browser needing to be open or the user authenticated.

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