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

Goes beyond the annotations by disclosing that the tool opens nothing by itself, that it operates in the user's own OpenTable account, and that OpenTable's official API is restricted to approved partners — useful context for why a browser-based route exists. Minor gap: it doesn't say whether a Cloud Browser session must already be open before the follow-up browser calls.

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 with the purpose and the key caveat that nothing is opened, then the follow-up workflow, then the supporting rationale about the API. The API sentence is slightly awkward in phrasing but earns its place as justification; the dated parenthetical is a small distraction.

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 guidance tool with no output schema, the description covers what it returns (screens, buttons, fields), what it does not do, and which sibling family to continue with. A statement about preconditions and expected result shape would make it fully self-contained.

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 there is nothing for the description to disambiguate beyond what the empty schema already communicates. Baseline of 4 applies.

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?

States a specific verb and resource (read the reservation book) and, crucially, clarifies that the tool returns step-by-step instructions rather than reservation data — a vital distinction that the name alone would hide. It stops short of distinguishing itself from the sibling opentable_list_your_reservations, which sounds like it retrieves actual reservation data.

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 gives a usable workflow: get the steps here, then execute them with the cotlet_browser_* tools in the user's Cloud Browser. It never states when to prefer this over opentable_list_your_reservations or the other OpenTable siblings, so the agent must infer the boundary between 'get instructions' and 'list reservations'.

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