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Glama

Start Session

auth_start
Destructive

Start a patient session by providing their contact information. Sends a 6-digit verification code to the patient's email.

Returns a session_id (NOT a token). The session_id is used with auth_verify_otp to prove email ownership and get a bearer token.

The code is in the email subject line: 'Chia Health: Your code is XXXXXX'. If you have access to the patient's email (e.g. Gmail MCP), search for this subject.

No authentication required. Call this when the patient is ready to proceed with their medical intake — after browsing medications and checking eligibility.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailYesPatient's email address
phoneYesPatient's phone number (US format)
last_nameNoPatient's last name
first_nameYesPatient's first name

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already indicate destructive/read-only hints, and the description adds important behavioral context: it sends an email, returns a session_id (not a token), and discloses the exact email subject line for retrieving the code. This is valuable and does not contradict 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.

Conciseness5/5

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

The description is five sentences, each earning its place: purpose, return value distinction, email subject info, and usage timing. It is well-structured and front-loaded with the primary action.

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?

Given the tool's complexity and the presence of an output schema, the description is complete: it explains what happens, what is returned, how to retrieve the verification code, and when to call it. It fully supports the agent in selecting and using the tool effectively.

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?

The input schema has 100% parameter description coverage, so the schema already documents each field. The description only says 'providing their contact information' and does not add new parameter-level details. Baseline 3 is appropriate since the schema carries the heavy lifting.

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 clearly states the tool's purpose: 'Start a patient session by providing their contact information. Sends a 6-digit verification code.' It specifies the action (start), the resource (patient session), and the side effect (sending a code). It also distinguishes itself from siblings by explaining the session_id flow and that it is not a token.

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

Usage Guidelines5/5

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

Explicit usage guidance is provided: 'Call this when the patient is ready to proceed with their medical intake — after browsing medications and checking eligibility.' It also states 'No authentication required' and describes the next step (use with auth_verify_otp), making the usage context 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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TDQS

A3.9/5.0
Disambiguation5/5

Every tool targets a distinct resource and action within the telehealth workflow: auth, consent, eligibility, intake, medications, checkout, order, portal, and provider communication. Even the multiple medication tools (list, details, availability, pricing) have clearly separated purposes, and there is no overlap among the 34 tools.

Naming Consistency5/5

All tool names follow a consistent `domain_verb` or `domain_noun` snake_case pattern, prefixed by their domain (auth_, checkout_, consent_, intake_, medications_, order_, portal_, provider_). There are no mixed conventions or vague verbs, making the API predictable and easy to navigate.

Tool Count2/5

With 34 tools, the server exceeds the 25+ threshold for 'too many' and feels fragmented. Many tools could be consolidated (e.g., medication pricing and availability could fold into details, and consent list/status could be combined). While the scope is broad, the count is excessive for a well-scoped MCP server.

Completeness4/5

The tool surface covers the full patient lifecycle from authentication and consent through eligibility, intake, checkout, order management, and post-order portal features. Minor gaps include lack of order cancellation or order listing, and no explicit intake update mechanism, but these are workable and do not block core workflows.

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