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

With no annotations, the description carries the full burden and discloses important non-obvious behavior: results come from the published staff schedule, existing bookings are not subtracted, some slots may already be taken, and confirmation is needed on the booking page. It also names result flags and explains freshness, which is strong transparency for a read tool.

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 most important caveat is front-loaded and the description is dense with useful information rather than filler. It is somewhat repetitive ('candidate start times' appears twice) and the long semicolon-heavy sentence could be easier to scan, but it is not bloated.

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 tool with no annotations, no output schema, and seven parameters, the description does well by explaining the non-live nature, result flags, and freshness. It still leaves gaps around pagination/limit behavior and precise time-window semantics, so it is strong but not fully 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 coverage is only 29%, so the description needs to compensate. It does clarify the core scoping model (one salon, one offering, optional stylist and date/time window), but it does not explain after/before formats or the limit parameter, leaving several optional parameters under-specified.

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 scope: candidate start times for one offering at one salon, optionally one stylist and a date/time window. It also distinguishes the tool from compare_options and makes clear it is not live availability, which is the key sibling distinction.

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 explicitly says when not to use it ('NOT live availability') and names compare_options for budget/extras/date decisions. However, it does not explicitly route the agent to check_availability when live availability is actually needed, leaving one likely alternative implicit.

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