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Find Related Words

language.dictionary.words
Read-onlyIdempotent

Find words by meaning, rhyme, sound, or spelling pattern. Use to generate synonyms, rhyming words, or words starting with a prefix. Returns up to 25 results per query for writing, creative tasks, or word games.

Instructions

Find words by meaning, sound, rhyme, or spelling pattern. "happy" → pleased, blissful. "algorithm" rhymes → rhythm, logarithm. Great for writing, creative tasks, word games (Datamuse)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meaningNoFind words with this meaning (e.g. "happy" → pleased, blissful, content)
sounds_likeNoFind words that sound like this (e.g. "elefant" → elephant)
rhymes_withNoFind words that rhyme with this (e.g. "algorithm" → rhythm, logarithm)
starts_withNoFind words starting with these letters (e.g. "algor" → algorithm, algorithmic)
limitNoMax results (1-25, default 10)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultNoTool response payload. Shape varies per tool — consult the tool description and inputSchema. May be an object, array, string, or number depending on the upstream provider response.
errorNoPresent only when the call failed. Includes error code, message, request_id, and any provider-specific extras.
Behavior4/5

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

Annotations already indicate read-only, idempotent, and non-destructive. The description adds behavioral details on the types of relationships (meaning, sound, rhyme, spelling) and provides example outputs, which go beyond annotations.

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 with examples and use case. Front-loaded with the core purpose, no wasted words.

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?

Given the 5 optional parameters and the existence of an output schema, the description is sufficient for an agent to understand when to invoke it. It covers the main behavior and provides concrete examples, though it does not detail parameter interactions.

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 coverage is 100% with each parameter described and exemplified. The tool description does not add new parameter information beyond the schema, so baseline is 3.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it finds words by meaning, sound, rhyme, or spelling pattern. Examples ('happy' → pleased, 'algorithm' rhymes → rhythm) clarify the purpose and differentiate from sibling tools like 'define'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It explicitly mentions use cases ('writing, creative tasks, word games') but does not state when not to use it or compare to alternatives like 'define'. However, the purpose is clear enough for an agent to select it appropriately.

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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