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

Annotations already declare readOnlyHint=true, so safety is covered. The description adds genuine value beyond that by disclosing the returned data shape (locations, services with duration and price, practitioners) and the underlying REST endpoint 'GET /appointments/settings'. It does not mention auth or pagination, but for a parameterless read this is solid.

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?

One sentence plus an endpoint reference, front-loaded with the returned collections and ending with the concrete purpose (ids for appointment creation). Nothing is padded or repeated.

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 available, the description correctly carries the burden of describing the return payload and does so at a useful level of granularity. It could go slightly further on response structure or pagination, but an agent has enough to call and use it correctly.

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 zero parameters, so the schema baseline of 4 applies and there is nothing for the description to disambiguate. The mention that the response contains ids is helpful framing rather than parameter detail.

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 (List) and enumerates the exact resources returned — locations, services with duration and price, and practitioners — then ties it to the downstream goal of creating an appointment. This clearly distinguishes it from siblings like intakeq_list_practitioners, which returns only one of these collections.

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 phrase 'the ids you need to create an appointment' gives explicit context for when to reach for this tool (setup/discovery prior to intakeq_create_appointment). It stops short of naming the alternative or stating exclusions, but the intended moment of use is unambiguous.

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