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Lucas-Servi

kegg-mcp-server

by Lucas-Servi

get_drug_interactions

Read-onlyIdempotent

Retrieve known drug-drug interactions for one or more KEGG drug IDs, supporting up to 10 entries at once.

Instructions

Get drug-drug interactions for one or more KEGG drugs.

Args: drug_ids: Single drug ID (e.g. 'D00001') or multiple IDs joined with '+' (e.g. 'D00001+D00564'). Max 10 entries.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
drug_idsYes

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, idempotentHint, openWorldHint, and destructiveHint=false. The description adds useful behavioral details: max 10 entries and input format. No contradictions, and the description adds 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.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise: one purpose sentence and an Args section. Every sentence is necessary and earns its place with no redundancy or fluff.

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 tool's simplicity (1 required param, output schema present), the description covers input format and constraints completely. No additional information about return values is needed due to output schema.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% with no parameter description. The description fully compensates by explaining drug_ids format (single ID or '+' joined, max 10) with examples, providing essential semantics for correct invocation.

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?

Description states 'Get drug-drug interactions for one or more KEGG drugs', which is a specific verb+resource. It clearly distinguishes from siblings like get_drug_info or search_drugs by focusing on interactions between drugs.

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 explains input format (single ID or multiple joined with '+', max 10) but does not explicitly mention when to use vs alternatives. Given no sibling tool handles interactions directly, the context is sufficient for correct usage.

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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