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Glama

List Medications

medications_list
Read-only

List all available prescription medications including GLP-1 weight loss drugs (compounded semaglutide, compounded tirzepatide), peptide therapies (sermorelin for growth hormone support, NAD+ for cellular energy and anti-aging, glutathione for antioxidant support), and other compounded wellness treatments. Returns medication names, categories, available forms (injectable, oral tablet, sublingual drops, nasal spray), and starting prices. All medications are compounded by US-licensed 503A pharmacies and require evaluation by a licensed US healthcare provider before prescribing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
client_ipNoClient IP address for rate limiting

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the read-only nature is established. The description adds meaningful context about the medication domain (compounded by US-licensed 503A pharmacies, requiring healthcare provider evaluation) and clarifies the content of the response. It does not mention rate limiting or pagination, but with annotations covering the safety profile, this adds sufficient value beyond 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?

The description is two sentences and front-loaded with the action 'List all available...'. It includes detailed examples (GLP-1 drugs, peptide therapies) that are useful for understanding the domain but adds some length. Each element contributes to understanding the tool's scope, so it remains appropriately concise.

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?

The tool has an output schema (so return values are structured separately) and annotations for read-only behavior. The description fully covers the purpose, the content domain, and key regulatory constraints. For a simple list tool, this is complete and sufficient, with no major gaps in context.

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 schema has one optional parameter (client_ip) with full description coverage (100%), so the schema already provides complete parameter semantics. The description adds no extra parameter information, which is fine because the baseline is 3 when schema coverage is high. No compensation 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 clearly states 'List all available prescription medications' with a specific action and resource, and enumerates the return fields (names, categories, forms, starting prices). It distinguishes from sibling tools by emphasizing the complete list scope ('all available') rather than specific categories, details, or pricing, aligning with the tool's purpose.

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?

The description provides clear context by stating the tool returns a comprehensive list of all medications, making it evident when to use it for an overview. However, it does not explicitly mention alternatives or exclusions (e.g., 'for specific details use medications_details'), though sibling names are visible. This meets the 'clear context, no exclusions' criterion.

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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