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

Annotations already declare read-only, idempotent, non-destructive, and closed-world behavior, so the safety profile is covered. The description adds valuable provenance by stating the figures are measured from SnagRes's own availability checks and lists the exact measured fields, though it does not discuss data freshness or any limitations.

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?

Three sentences, each earning its place: what the record contains, when to use it, and where the data comes from. The most important content is front-loaded with no filler.

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 must carry the burden of return content, and it enumerates the key metrics well. It does not specify the exact return structure or units, but for a one-parameter lookup tool it is nearly complete.

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 description coverage is 100% and the single parameter already has an example. The description adds no syntax or format detail beyond restating that the data is for one restaurant, so baseline 3 is appropriate.

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 resource and enumerates the data it returns (two-top/four-top availability, dates checked, booking window, release hour), so the agent knows exactly what this tool provides. It is clear on its own but does not explicitly differentiate itself from siblings like when_does_it_release or open_now.

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 an explicit use case: answering whether a restaurant is realistically gettable or why someone keeps failing to book it. However, it does not name when to prefer an alternative sibling tool or state any exclusions.

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