Skip to main content
Glama
Eyalm321

multilingual-dictionary-mcp

by Eyalm321

dictionary_holonyms

Retrieve holonyms—words that contain the given word as a part—using ConceptNet. Supports multiple languages and adjustable result limits.

Instructions

Holonyms (wholes that contain this word) via offline ConceptNet reverse PartOf.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wordYes
languageNoen
limitNo
Behavior2/5

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

No annotations provided; description only hints at data source. Does not disclose read-only nature, side effects, or any constraints beyond the input schema.

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?

Single sentence front-loads the core purpose and data source. No unnecessary words.

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

Completeness2/5

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

Given no output schema, no annotations, and many sibling tools, the description is too sparse. Missing details on return format, edge cases, and how it compares to other relation tools.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, but parameter names (word, language, limit) are self-explanatory. Description adds minimal value: the word parameter is the term to look up, language defaults to en, limit defaults to 50.

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?

Clearly states it retrieves holonyms (wholes containing the word) and mentions the data source (ConceptNet reverse PartOf). Distinguishes from sibling tools like hyponyms or meronyms, though could be more explicit.

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?

Implied usage: when looking for wholes that contain a given word. No explicit when-to-use or alternatives guidance.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Eyalm321/multilingual-dictionary-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server