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Glama

Chia Health MCP Server

by health.chia

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

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds valuable context beyond annotations by explaining the source (US-licensed 503A pharmacies), the prescription requirement, and the types of data returned. No contradiction with 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 front-loaded with the core purpose in the first words, uses three focused sentences, and wastes no words. Every sentence adds value, including the final context about compounding pharmacies and provider evaluation.

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 low parameter count, presence of an output schema, and annotations, the description is complete. It covers what the tool returns, the domain context, and the regulatory setting, making it fully adequate for selection and invocation.

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?

There is only one optional parameter, client_ip, and the schema fully covers it with 'Client IP address for rate limiting'. With 100% schema coverage, the description does not need to add parameter details, so baseline 3 is appropriate.

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 states the specific verb 'List all available prescription medications' and clearly identifies the resource. It also differentiates from sibling tools like medications_details and medications_pricing by emphasizing the all-encompassing list scope and overview return fields.

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 clearly implies this tool is for getting a comprehensive overview of all medications, with category, form, and price summaries. It does not explicitly mention alternatives or exclusions, but the context is strong enough for an agent to select this for broad listing rather than specific details or pricing.

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

A4.2/5.0
Disambiguation4/5

Most tools have distinct purposes with clear boundaries, such as auth_* for authentication, checkout_* for payment, and portal_* for patient portal actions. However, there is some overlap between checkout_status and auth_check_payment (both involve polling for payment status) and between portal_support and portal_message (both for communication), which could cause minor confusion.

Naming Consistency5/5

Tool names follow a highly consistent verb_noun pattern throughout, with clear prefixes grouping related tools (e.g., auth_, checkout_, consent_, intake_, medications_, order_, portal_, provider_). This predictable structure makes it easy to understand the tool set's organization and purpose.

Tool Count3/5

With 34 tools, the count is borderline high for a telehealth server, as it may feel heavy and complex for agents to navigate. While the tools cover a comprehensive workflow from authentication to patient portal, some consolidation (e.g., merging similar polling tools) could improve usability without losing functionality.

Completeness5/5

The tool set provides complete coverage for the telehealth domain, including authentication, eligibility checks, medication browsing, intake, consent, checkout, order management, and patient portal features. There are no obvious gaps; agents can handle the entire patient journey from start to ongoing care without dead ends.

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