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Lucas-Servi

kegg-mcp-server

by Lucas-Servi

search_pathways

Read-onlyIdempotent

Search KEGG pathways by keyword to find relevant pathways, with optional filtering by organism code and result limit.

Instructions

Search KEGG pathways by keyword.

Args: query: Search term (e.g. 'glycolysis', 'TCA', 'insulin signaling'). organism_code: 3-4 letter organism code (e.g. 'hsa' for human, 'mmu' for mouse). Use 'map' for reference pathways. max_results: Maximum number of results to return (capped at 100).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
max_resultsNo
organism_codeNomap

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 idempotentHint=true, so the description adds limited behavioral context (e.g., max_results cap of 100, organism code patterns). No contradictions with 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 extremely concise: a single-line purpose followed by three short bullet points with examples. Every word serves a purpose, with no redundant information.

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 tool's moderate complexity (3 params, output schema present, annotations provided), the description adequately covers parameter behavior and constraints. It does not describe return values, but the output schema should handle that.

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?

With schema description coverage at 0%, the description fills the gap by explaining each parameter: query examples, organism_code format and use of 'map', and max_results cap. This adds substantial meaning beyond the schema's default values and titles.

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 opening sentence 'Search KEGG pathways by keyword' clearly states the verb (search), resource (KEGG pathways), and scope (by keyword), distinguishing it from sibling search tools like search_compounds.

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 use this tool versus alternatives like search_brite or get_pathway_info. Usage is implied through parameter examples but no comparative guidance is provided.

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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