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Lucas-Servi

kegg-mcp-server

by Lucas-Servi

get_drug_info

Read-onlyIdempotent

Retrieve detailed information for a KEGG drug entry by providing its drug ID. Choose between summary or full detail level.

Instructions

Get detailed information for a KEGG drug entry.

Args: drug_id: KEGG drug ID (e.g. 'D00001' for aspirin, 'D00564' for ibuprofen). detail_level: 'summary' (default, compact) or 'full' (complete flat-file parse).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
drug_idYes
detail_levelNosummary

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already provide readOnlyHint, openWorldHint, idempotentHint, and destructiveHint. The description adds value by explaining the detail_level parameter (summary vs full), which goes beyond the 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: two lines of purpose followed by parameter explanations. Every sentence adds necessary information, and the important part is front-loaded.

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?

Given the presence of an output schema (not displayed), the description does not need to explain return values. It covers both parameters well, with clear examples and options. A minor improvement would be to note that it returns structured drug data.

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?

Although schema description coverage is 0%, the description adds meaning beyond the schema: it gives concrete examples for drug_id (e.g., D00001 for aspirin) and explains the options and default for detail_level.

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 'Get detailed information for a KEGG drug entry', specifying both the action (get) and the resource (KEGG drug entry). This clearly distinguishes it from sibling tools like get_gene_info or get_compound_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides examples of drug IDs but does not explicitly state when to use this tool versus siblings like search_drugs. Usage context is implied but not explicitly differentiated.

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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