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Goingparabolic

oak-longevity-mcp-server

Check Drug Interactions

check_drug_interactions
Read-only

Given a list of medications, analyzes pairwise interactions and returns warnings ranked by severity with mechanism, effect, and management.

Instructions

Given a list of medications (catalog drugs and/or outside agents like "warfarin", "nitrates", "insulin"), returns pairwise interaction warnings ranked by severity (contraindicated > major > moderate > minor), each with the mechanism/effect and management. PREMIUM tier.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
medicationsYesList of medications to check against each other. A comma-separated string is also accepted.
Behavior4/5

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

Annotations already indicate read-only (readOnlyHint=true). Description adds output details (severity ranking, mechanism, management) without contradicting 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?

Two sentences, front-loaded with key purpose, no unnecessary words.

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 tool with one parameter and no output schema, the description adequately explains input and output structure. Could hint at what 'management' includes but is sufficient.

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?

Schema covers 100% of parameters with good descriptions. The description adds context about accepting both catalog drugs and outside agents, enhancing usability.

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 verb ('returns'), resource ('pairwise interaction warnings'), and distinguishes from siblings like 'check_contraindications' by specifying severity ranking and input flexibility.

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 says when to use ('given a list of medications'), but does not explicitly exclude alternatives like 'check_contraindications'. However, the context implies this is for general interaction checks.

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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