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Eyalm321

multilingual-dictionary-mcp

by Eyalm321

dictionary_derived_from

Find words derived from a given word using ConceptNet's derivation relations, supporting multiple languages and adjustable result limits.

Instructions

Derivation relations via offline ConceptNet DerivedFrom.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wordYes
languageNoen
limitNo
Behavior1/5

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

No annotations provided, and the description does not disclose any behavioral traits such as read-only nature, output structure, or side effects. This is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is extremely concise, but it lacks necessary detail. It is not structured to convey key information efficiently.

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

Completeness1/5

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

For a tool with 3 parameters and no output schema, the description is far from complete. It does not explain return values, edge cases, or the nature of derivation relations.

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

Parameters1/5

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

The description adds no meaning beyond the schema. Schema coverage is 0%; limit, language, and word are not explained. The word 'derivation' is vague.

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 clearly states it returns derivation relations from ConceptNet, which is specific. However, it does not differentiate from close siblings like etymologically_related.

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?

No guidance on when to use this tool versus the many sibling relation tools. The description provides no context for choosing this over alternatives.

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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