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kegg-mcp-server

kegg-mcp-server

by Lucas-Servi

search_enzymes

Read-onlyIdempotent

Find KEGG enzymes by EC number or name and return up to 100 matching records for pathway and bioinformatics analysis.

Instructions

Search KEGG enzymes by EC number or name.

Args: query: EC number (e.g. '1.1.1.1') or enzyme name (e.g. 'kinase', 'oxidase'). 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_enzymesOutput"New value: +"SearchResult"
  2. First observedv0.1.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnly, idempotent, openWorld and non-destructive, so the safety profile is covered. The description adds a real behavioral constraint the annotations lack: results are capped at 100. It says nothing about truncation behavior, pagination, or ordering, which is a moderate gap but not a serious one for a read-only search.

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 core purpose is front-loaded in one sentence, and the Args block is compact with no filler. Slight redundancy in restating parameter names the schema already exposes, but each line adds format detail rather than repeating types.

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 two-parameter read-only search with an output schema available, the description covers both parameters, the cap behavior, and accepted query formats. What is missing is routing guidance relative to get_enzyme_info, which is the main remaining gap.

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 carries the full burden and does so: it defines 'query' as an EC number or enzyme name with concrete examples ('1.1.1.1', 'kinase', 'oxidase') and states that max_results is capped at 100. It omits the default of 25, which the schema supplies, so the gap is minor.

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?

States a specific verb and resource ('Search KEGG enzymes') plus the two lookup keys (EC number or name), which is enough to distinguish it from get_enzyme_info by implication. It never names the sibling explicitly, so discrimination relies on the agent inferring search-vs-detail semantics.

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 a discovery-then-detail workflow (search here, then get_enzyme_info), but never says so. There are no explicit when-to-use, when-not-to-use, or alternative-routing statements despite several plausible siblings (search_genes, search_compounds, get_enzyme_info).

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