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Lucas-Servi

kegg-mcp-server

by Lucas-Servi

get_database_info

Read-onlyIdempotent

Retrieve release information and statistics for a specified KEGG database such as kegg, pathway, compound, drug, or genome.

Instructions

Get release information and statistics for a KEGG database.

Args: database: Database name (e.g. 'kegg', 'pathway', 'compound', 'drug', 'genome').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
databaseNokegg

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the description's addition of 'release information and statistics' adds minimal behavioral context. It does not contradict annotations, but does not elaborate on response volume or network dependencies.

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 concise (two lines plus an Args section) and front-loaded with the primary purpose. Every sentence adds value without 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?

Given the presence of an output schema (context indicates it exists), the description does not need to detail return values. It covers the single parameter adequately. A slight improvement would be to note that the database parameter corresponds to KEGG database identifiers.

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?

The input schema has one parameter with a default but no description. The description adds examples like 'kegg', 'pathway', 'compound', improving understanding despite 0% schema coverage. It does not list all valid values but provides sufficient context.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves 'release information and statistics for a KEGG database', specifying the verb (get) and resource (database info). It distinguishes from sibling tools that operate on specific entries (e.g., get_gene_info, get_pathway_info) by targeting database-level metadata.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives or when not to use it. There is no mention of context like initial discovery or prerequisites, leaving the agent to infer from the name alone.

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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