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Lucas-Servi

kegg-mcp-server

by Lucas-Servi

search_genes

Read-onlyIdempotent

Search for genes in KEGG databases using gene name, symbol, or description. Specify organism code and maximum results to retrieve matching entries.

Instructions

Search for genes in a KEGG organism database.

Args: query: Search term (gene name, symbol, or description). organism_code: KEGG organism code (e.g. 'hsa' human, 'mmu' mouse, 'eco' E. coli). max_results: Maximum number of results to return (capped at 100).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_resultsNo
organism_codeNohsa

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

The description adds behavioral context beyond the annotations: it specifies the database scope, parameter meanings, and a result cap of 100. It does not contradict the readOnlyHint, openWorldHint, idempotentHint, or destructiveHint 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 concise and well-structured, with a clear main sentence followed by parameter explanations. No redundant information; every sentence serves a purpose.

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?

The description covers input parameters and database context. Since an output schema exists, it does not need to detail return values. It is largely complete for a search tool, though could mention the result type.

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 each parameter: query as search term, organism_code with examples, and max_results with cap. This adds significant meaning beyond the schema.

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 it searches for genes in a KEGG organism database, using a specific verb and resource. However, it does not explicitly differentiate from other search tools like search_compounds or search_pathways, leaving some ambiguity.

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?

The description provides no guidance on when to use this tool versus alternatives. It lacks explicit context or exclusions, making it unclear for an agent to decide between search_genes and other search tools.

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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