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List lab tests

vital_list_lab_tests
Read-only

List the lab tests available/configured for your team. Vital API: GET /v3/lab_tests.

Input Schema

NameRequiredDescriptionDefault
nameNoFilter by lab test name.
statusNoFilter by lab test status (e.g. active).
lab_slugNoFilter by lab slug.
order_keyNoSort key.
order_directionNoSort direction.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. First observed

TDQS

B3.2/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, so the safety profile is covered. The description adds only the team-scoping fact and the raw API path, disclosing nothing about pagination, result caps, sorting defaults, or auth requirements that would go beyond the annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Two tight sentences with the purpose front-loaded and no filler. The trailing API path reference is mildly redundant for tool selection but costs almost nothing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a simple read-only filtered list with full schema coverage, so the description is sufficient for correct invocation. The description also states the team scope, which clarifies what set of results is returned even without an output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and every filter/sort parameter is already documented in the schema, so the baseline is 3. The description itself adds no semantics about the five optional filters, but the schema carries that burden adequately.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb ('List') and resource ('lab tests') with scope ('available/configured for your team') and even names the underlying endpoint. However, it never distinguishes itself from the sibling vital_get_lab_test, so an agent must infer the list-vs-single difference.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use or when-not guidance and no mention of alternatives like vital_get_lab_test or vital_list_orders. The 'available/configured for your team' phrasing hints at scope but gives no actionable selection criteria.

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

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