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kegg-mcp-server

kegg-mcp-server

by Lucas-Servi

search_glycans

Read-onlyIdempotent

Search KEGG glycan database by keyword or composition to identify glycans such as GlcNAc or Man5. Returns up to 100 matching entries.

Instructions

Search KEGG glycan database by keyword or composition.

Args: query: Glycan name or composition (e.g. 'GlcNAc', 'Man5', 'sialic acid'). max_results: Maximum number of results to return (capped at 100).

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "query": "<query>"
    },
    "name": "search_glycans"
  }
}

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_glycansOutput"New value: +"SearchResult"
  2. First observedv0.1.0

TDQS

A3.9/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint, and destructiveHint=false, so the safety profile is covered. The description adds useful behavioral context by stating that max_results is capped at 100.

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 short, front-loaded with the core purpose, and then documents the arguments efficiently. Every sentence contributes useful 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?

With annotations and an output schema present, the definition covers the main requirements for a search operation: what is searched, how to query, and the result cap. Minor gaps remain around matching behavior and ordering, but nothing essential is missing.

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 explains that query accepts a glycan name or composition with useful examples, and that max_results is capped at 100, covering both parameters well though without exhaustive syntax details.

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 gives a specific verb and resource: search the KEGG glycan database by keyword or composition. It is clearly a search tool rather than a detail-fetch tool like get_glycan_info, though it does not explicitly name sibling alternatives.

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?

Usage is implied by 'search ... by keyword or composition', but there is no explicit when-to-use guidance, exclusions, or comparison to alternatives such as get_glycan_info for detailed records. It is adequate but leaves routing to inference.

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