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Photon Health MCP by usefulapi

List medication packages

photonhealth_list_medication_packages
Read-onlyIdempotent

List the packages (package NDCs) of a PRODUCT-level medication from list_medication_products. Photon GraphQL: medicationPackages.

Input Schema

NameRequiredDescriptionDefault
medication_idYesMedication id of a PRODUCT (from list_medication_products).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is fully covered elsewhere. The description adds only that the result set is package NDCs at the package level of the product hierarchy, and says nothing about pagination, ordering, or result size.

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?

Two compact clauses, front-loaded with the action and resource, with no filler. Every element earns its place.

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

Completeness4/5

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

For a one-parameter read-only list tool with no output schema, the description conveys the hierarchy position and the return unit (package NDCs), which is enough to call it correctly. Minor gaps remain around result shape and volume.

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 the single parameter is already documented as a PRODUCT-level medication id from list_medication_products. The description restates the same constraint rather than adding format, example, or edge-case detail, so the baseline 3 applies.

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?

States a specific verb (List) and resource (packages / package NDCs) and explicitly scopes it to PRODUCT-level medications, which distinguishes it from the sibling list_medication_products that returns the parent level. The GraphQL field name adds a concrete anchor.

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 phrase 'from list_medication_products' tells the agent the prerequisite step and where the required id comes from, which is clear routing context. It stops short of explicitly stating when not to use this tool (e.g. NDC- or package-level entry points).

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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