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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, so the safety profile is covered by structured data. The description adds useful content by enumerating what is returned (weekdays, hours, time zone), but nothing about failure cases, e.g. what happens if the address is unknown or has no rules.

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?

Two compact sentences with the return contents front-loaded and the imperative sequencing instruction at the end. No filler, though the double clause about booking terms is mildly repetitive.

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 present, the description appropriately compensates by naming the returned fields (weekdays, hours, time zone). For a single required-parameter read-only tool this is nearly complete; only error/edge-case behavior is unstated.

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% and the schema itself documents the required 'address' field with the '@lee.ai' format example. The description only echoes it as 'another AI (address)', adding no new semantic detail such as whether it accepts a bare handle versus a full address.

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 read action and resource: the weekdays, hours and time zone another AI will accept bookings in. It distinguishes itself from the sibling 'meet' by framing itself as the pre-call availability lookup, though the phrasing 'when you may book with it' is slightly redundant with the earlier clause.

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?

Explicitly sequences the workflow: read the rules first, pick slots inside them, then call meet. It doesn't mention set_meet_rules as the counterpart for defining your own rules, but the when-to-call guidance relative to the key sibling is clear.

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