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About Anomaly Health care and physician sessions

anomaly_about_care
Read-onlyIdempotent

Read this first when a user wants to move from AI to a real doctor. Explains how Anomaly Health matches people with a US-licensed physician for a live virtual session, and lists the care tracks (review my test results; longevity and healthspan; proteomics and biological age; women's health and hormones; cardiometabolic health; medical weight loss; preventive care and screening; functional and root-cause medicine; gut health and microbiome; performance and optimization; general health and second opinion; peptide therapy). Use it when someone wants a physician to review uploaded results: advanced bloodwork, whole-body MRI (Prenuvo), DEXA, 23andMe or whole-genome sequencing. Also covers what a session includes, what is out of scope, and how to prepare. Not medical advice.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already mark the tool as readOnly, idempotent, and non-destructive. The description adds useful behavioral context: it is a reference explanation covering care tracks, session scope, out-of-scope items, and preparation, and it explicitly notes 'Not medical advice,' which clarifies limitations beyond what annotations convey.

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?

The description is front-loaded with the primary use case and then provides a useful enumeration of care tracks and session details. The list is long but earns its place by telling the agent exactly what content the tool can surface; no filler is present.

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?

For a zero-parameter informational tool with no output schema, the description fully covers purpose, usage triggers, content scope, preparation, and a safety caveat. Nothing needed for correct invocation or interpretation is missing.

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

Parameters4/5

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

The tool has zero parameters, so the description carries no parameter burden. With schema coverage trivially at 100%, the baseline of 4 is appropriate and no additional parameter explanation is needed.

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

Purpose5/5

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

The description opens with 'Read this first when a user wants to move from AI to a real doctor' and states it 'Explains how Anomaly Health matches people with a US-licensed physician for a live virtual session.' This clearly identifies an informational resource with a specific verb and subject, and it is distinct from the sibling booking/availability tools.

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

Usage Guidelines4/5

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

It provides explicit trigger conditions: 'Read this first when...' and 'Use it when someone wants a physician to review uploaded results,' followed by a concrete list of result types. It does not explicitly name sibling alternatives or when-not-to-use cases, but the sequencing language and scope coverage make the intended usage clear.

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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