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kegg-mcp-server

kegg-mcp-server

by Lucas-Servi

search_reactions

Read-onlyIdempotent

Search KEGG reactions by keyword to find matching reaction names or descriptions, returning up to 100 results for metabolic analysis.

Instructions

Search KEGG reactions by keyword.

Args: query: Search term (reaction name or description). max_results: Maximum number of results to return (capped at 100).

Input Schema

NameRequiredDescriptionDefault
queryYes
max_resultsNo

Output Schema

NameRequiredDescriptionDefault
queryYes
resultsYes
databaseYes
truncatedNo
total_foundYes
returned_countYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed10 schema fields changedv0.5.0
    • removedOutput schema / $defs
      Removed value: -{
      -  "ErrorResult": {
      -    "description": "Structured error returned by a tool when the KEGG API fails.\n\nA tool returns this instead of raising so the model can reason about\nthe failure and decide whether to retry, change inputs, or give up.\nA point lookup that receives a 404 uses code ``not_found``; an empty search\nremains a successful result with no items.",
      -    "properties": {
      -      "code": {
      -        "default": "kegg_api_error",
      -        "title": "Code",
      -        "type": "string"
      -      },
      -      "error": {
      -        "title": "Error",
      -        "type": "string"
      -      },
      -      "hint": {
      -        "anyOf": [
      -          {
      -            "type": "string"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ],
      -        "default": null,
      -        "title": "Hint"
      -      },
      -      "path": {
      -        "anyOf": [
      -          {
      -            "type": "string"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ],
      -        "default": null,
      -        "title": "Path"
      -      },
      -      "retryable": {
      -        "default": false,
      -        "title": "Retryable",
      -        "type": "boolean"
      -      },
      -      "status": {
      -        "anyOf": [
      -          {
      -            "type": "integer"
      -          },
      -          {
      -            "type": "null"
      -          }
      -        ],
      -        "default": null,
      -        "title": "Status"
      -      }
      -    },
      -    "required": [
      -      "error"
      -    ],
      -    "title": "ErrorResult",
      -    "type": "object"
      -  },
      -  "SearchResult": {
      -    "properties": {
      -      "database": {
      -        "title": "Database",
      -        "type": "string"
      -      },
      -      "query": {
      -        "title": "Query",
      -        "type": "string"
      -      },
      -      "results": {
      -        "additionalProperties": {
      -          "type": "string"
      -        },
      -        "title": "Results",
      -        "type": "object"
      -      },
      -      "returned_count": {
      -        "title": "Returned Count",
      -        "type": "integer"
      -      },
      -      "total_found": {
      -        "title": "Total Found",
      -        "type": "integer"
      -      },
      -      "truncated": {
      -        "default": false,
      -        "title": "Truncated",
      -        "type": "boolean"
      -      }
      -    },
      -    "required": [
      -      "query",
      -      "database",
      -      "total_found",
      -      "returned_count",
      -      "results"
      -    ],
      -    "title": "SearchResult",
      -    "type": "object"
      -  }
      -}
    • addedOutput schema / properties / database
      Added value: +{
      +  "title": "Database",
      +  "type": "string"
      +}
    • addedOutput schema / properties / query
      Added value: +{
      +  "title": "Query",
      +  "type": "string"
      +}
    • removedOutput schema / properties / result
      Removed value: -{
      -  "anyOf": [
      -    {
      -      "$ref": "#/$defs/SearchResult"
      -    },
      -    {
      -      "$ref": "#/$defs/ErrorResult"
      -    }
      -  ],
      -  "title": "Result"
      -}
    • addedOutput schema / properties / results
      Added value: +{
      +  "additionalProperties": {
      +    "type": "string"
      +  },
      +  "title": "Results",
      +  "type": "object"
      +}
    • addedOutput schema / properties / returned_count
      Added value: +{
      +  "title": "Returned Count",
      +  "type": "integer"
      +}
    • addedOutput schema / properties / total_found
      Added value: +{
      +  "title": "Total Found",
      +  "type": "integer"
      +}
    • addedOutput schema / properties / truncated
      Added value: +{
      +  "default": false,
      +  "title": "Truncated",
      +  "type": "boolean"
      +}
    • changedOutput schema / required
      Previous value: -[
      -  "result"
      -]New value: +[
      +  "query",
      +  "database",
      +  "total_found",
      +  "returned_count",
      +  "results"
      +]
    • changedOutput schema / title
      Previous value: -"search_reactionsOutput"New value: +"SearchResult"
  2. First observedv0.1.0

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true, idempotentHint=true, and destructiveHint=false, covering the safety profile. The description adds only that max_results is capped at 100, with no further behavioral details such as ordering, pagination, or external-service behavior.

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 short and front-loaded, with the purpose stated first and parameter meanings following in a compact Args block. It is appropriately sized, though the Args formatting is slightly mechanical rather than fully narrative.

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?

For a simple two-parameter search tool with rich annotations and an output schema, the description is sufficiently complete. It does not need to explain return values because an output schema exists, and it covers the key input semantics and result cap.

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?

Schema description coverage is 0%, so the description must carry parameter meaning. It documents both parameters: query as a reaction name or description, and max_results as capped at 100. It does not mention the default value of 25, but otherwise compensates well for the schema gap.

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 states a specific verb and resource: "Search KEGG reactions by keyword." This clearly distinguishes keyword-based reaction search from sibling detail tools like get_reaction_info, though it does not explicitly name the alternative.

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 implies keyword search via "Search KEGG reactions by keyword" and defines the query as a reaction name or description. However, it gives no explicit guidance on when to use this tool versus get_reaction_info, get_pathway_reactions, or other search tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.