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

Annotations already declare readOnlyHint=true, and the description reinforces this with 'GET /v3/lab_tests.' It adds a small amount of context by saying the list is scoped to the team's configured tests, but it does not disclose pagination, output shape, or authentication considerations. With the read-only annotation carrying the safety profile, this is acceptable but not rich.

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 description is two short sentences with no redundant filler. The core purpose is front-loaded, and the endpoint reference is a useful addition. It could arguably include sibling routing, but that is a content gap rather than a conciseness problem.

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 simple read-only list tool with all parameters documented and no required arguments, the description is mostly sufficient. However, there is no output schema and the description does not describe what the returned list looks like or how to fetch a single lab test. The sibling vital_get_lab_test makes the missing routing guidance more noticeable.

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 every parameter has a clear description and, where relevant, an enum. The description adds no parameter-level detail, but it does not need to because the schema already fully documents name, status, lab_slug, order_key, and order_direction. This matches the baseline for fully covered schemas.

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 verb and resource: 'List the lab tests available/configured for your team.' It clearly indicates a collection-level operation rather than a single-item fetch, and the endpoint reference adds precision. It does not explicitly call out how it differs from the sibling vital_get_lab_test, so it stops short of full differentiation.

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?

There is no explicit guidance on when to use this tool versus alternatives. The phrase 'available/configured for your team' implies a listing context, but it never says to use vital_get_lab_test for a single lab test or mentions when filters should be applied. The agent must infer the usage boundaries from sibling names.

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