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Lucas-Servi

kegg-mcp-server

by Lucas-Servi

get_gene_info

Read-onlyIdempotent

Retrieve detailed information for a KEGG gene entry by providing a gene ID in 'organism:gene' format. Choose summary or full detail, and optionally include sequences.

Instructions

Get detailed information for a KEGG gene entry.

Args: gene_id: KEGG gene ID in format 'organism:gene' (e.g. 'hsa:1956' for EGFR). detail_level: 'summary' (default, compact) or 'full' (complete parse with linked orthologs, pathways, xrefs, and references). include_sequence: If True and detail_level='full', fetches amino acid and nucleotide sequences.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
gene_idYes
detail_levelNosummary
include_sequenceNo

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 nature. The description adds behavioral context by explaining how detail_level and include_sequence affect the output, which goes 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 brief and well-structured: a single opening sentence followed by a clear parameter list. No redundant information; every sentence adds value.

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?

With an output schema present, return value details are not needed. The description covers input semantics adequately. However, missing error handling or invalid input notes slightly reduce completeness.

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%, but the description fully documents each parameter: expected format for gene_id, enum values for detail_level, and conditional behavior for include_sequence. This compensates completely.

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?

Clearly states the tool retrieves detailed information for a KEGG gene entry, distinguishing it from search-related siblings like search_genes or get_gene_orthologs. The verb and resource are specific.

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 implies usage when a specific gene_id is known, but does not explicitly state when to choose this tool over alternatives like get_gene_orthologs or search_genes. No when-not-to-use guidance.

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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