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

Annotations already declare read-only, idempotent, non-destructive behavior, so the safety profile is covered. The description adds genuine context beyond that: the answer is per-restaurant rather than per-platform and each restaurant sets its own hour and window, which shapes how the agent should interpret results.

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?

Four short sentences, front-loaded with what the tool returns before the usage examples and the per-restaurant caveat. Each sentence contributes something, though the opening fragment is slightly clipped.

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 burden of explaining returns, and it does so for both modes (booking window and exact release day/time) plus the per-restaurant scoping. Nothing essential for calling it correctly appears to be missing.

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?

Schema coverage is 100%, so both parameters are already documented, setting a baseline of 3. The description adds conditional semantics beyond the schema: supplying a dining date yields the exact day and local time a date becomes bookable, while framing the no-date behavior as the booking window.

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 states a specific capability: determining when a restaurant releases new bookable dates and how far ahead it books, with a concrete example query. It is clearly distinct from availability-style siblings like open_now, though it never names an alternative tool to route away from.

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 trigger phrasing ('Use this for "when can I book X for Saturday" or "when do X reservations open"'), so the agent knows the intent that maps here. It lacks explicit when-not conditions or named sibling alternatives, capping it below 5.

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