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Lucas-Servi

kegg-mcp-server

by Lucas-Servi

search_ko_entries

Read-onlyIdempotent

Search KEGG Orthology (KO) entries by gene function keyword. Get KO IDs and descriptions for pathways and functional annotations.

Instructions

Search KEGG Orthology (KO) entries by keyword.

Args: query: Gene function (e.g. 'hexokinase', 'ribosomal protein', 'cytochrome'). 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
Behavior3/5

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

Annotations already declare read-only, idempotent, non-destructive behavior. The description adds a behavioral detail (max_results capped at 100) and example queries. It does not disclose result ordering or pagination, but given annotations, this is acceptable.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is concise and well-structured, with the main purpose followed by parameter details. It wastes no words, but could front-load the purpose more distinctly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers the basic function but omits details about result ordering, default behavior (e.g., empty query), and what fields are returned. Given the output schema exists, this is acceptable but leaves some contextual gaps.

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%, so the description carries full burden. It provides clear, meaningful descriptions for both parameters: query with examples of gene functions, and max_results with its cap. This adds significant value beyond the bare 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 KEGG Orthology entries by keyword, using a specific verb and resource. It distinguishes from sibling tools like get_ko_info (which retrieves a specific entry) but could be more precise about what a KO entry represents.

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 explicit guidance on when to use this tool versus alternatives like search_genes or search_pathways. The description implies keyword-based search but does not state when-not to use or mention alternatives.

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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