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Lucas-Servi

kegg-mcp-server

by Lucas-Servi

search_diseases

Read-onlyIdempotent

Search for diseases in the KEGG database by name or keyword, returning relevant results with a configurable maximum.

Instructions

Search KEGG diseases by name or keyword.

Args: query: Disease name (e.g. 'diabetes', 'cancer', 'Alzheimer'). max_results: Maximum number of results to return (capped at 100).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_resultsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive. The description adds the behavioral detail that max_results is capped at 100, which is beyond annotation scope.

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 exceptionally concise, using a clean docstring format. It front-loads the purpose and adds parameter details without any superfluous text.

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, the presence of an output schema, and comprehensive annotations, the description provides all necessary context. No gaps remain.

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?

With 0% schema description coverage, the description fully compensates by explaining the query parameter with examples and clarifying max_results with a cap and default behavior.

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 'Search KEGG diseases by name or keyword,' providing a specific verb and resource. It distinguishes from sibling search tools that target other entities like compounds or drugs.

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 does not explicitly state when to prefer this tool over alternatives or mention exclusions. Usage is implied by the disease context, but no concrete guidelines are given.

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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