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check_drug_interactions

Read-onlyIdempotent

Check interactions between two drugs and receive a severity rating (Major, Moderate, Minor) from DDInter 2.0.

Instructions

Check whether TWO specific drugs interact, with severity (DDInter 2.0).

USE THIS for questions like "can X and Y be taken together?", "does X interact with Y?", or any two-drug combination/co-administration check. Provide the two drug names (Turkish brand/active substance or English INN); returns the pairwise severity — Major / Moderate / Minor — from DDInter, bridging Turkish names through TİTCK. For ONE drug's full label interaction text, use get_drug_interactions instead. A missing pair does NOT prove the combination is safe.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
drug1YesFirst drug — brand, active substance, or INN (Turkish or English).
drug2YesSecond drug — brand, active substance, or INN (Turkish or English).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already indicate readOnlyHint=true and idempotentHint=true. The description adds that severity comes from DDInter, bridges Turkish names through TİTCK, and includes the important caveat about missing pairs not implying safety.

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?

Three sentences front-loading the core function, usage examples, and a caution. Every sentence adds value with no redundancy.

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 two-parameter tool with likely simple output (severity level), the description is complete enough. It covers what to input, what to expect, and a limitation. An output schema exists to fill any gaps.

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 coverage is 100% and the parameters are self-explanatory. The description reiterates the parameter types (brand, active substance, INN) but adds no significant meaning beyond the schema.

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 checks pairwise drug interactions with severity, using DDInter 2.0. It distinguishes from the sibling tool get_drug_interactions, which is for a single drug's full label.

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 'USE THIS for' examples and a direct when-not-to-use instruction pointing to the alternative get_drug_interactions. Also warns that a missing pair does not prove safety.

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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