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word_similarity

Measures semantic similarity between words or phrases. Use it to compare word meanings, find related terms, or assess text similarity for NLP tasks.

Instructions

word similarity — Other Utilities tool. Costs $0.001 USDC via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNoTool parameters as JSON object
Behavior2/5

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

With no annotations, the description carries the full burden. It discloses the cost ($0.001 USDC via x402) but fails to mention the core behavior, expected inputs, or what it returns. This is minimal transparency beyond the cost detail.

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 very short and free of fluff, but it is under-specified. The fragment 'word similarity — Other Utilities tool' is followed by a cost statement, making it concise yet incomplete. It earns a middle score because it is not overly verbose but lacks substantive content.

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 the lack of annotations, output schema, and specific parameter documentation, the description is far from complete. It does not explain what the tool does, its return value, or any prerequisites, leaving the agent without crucial context for successful invocation.

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

Parameters2/5

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

The input schema is a generic 'params' object with no specific parameters, so the description must compensate. It does not mention any parameters (e.g., word1, word2) or how to structure them, adding no meaningful semantic value beyond the schema's generic placeholder.

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

Purpose2/5

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

The description essentially restates the tool name ('word similarity') and adds only a generic category ('Other Utilities tool'), providing no specific verb or resource. It does not clearly state what the tool does, such as 'computes the similarity between two words.'

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?

There is no guidance on when to use this tool versus alternatives like levenshtein_distance or anagram_check. The description only mentions cost and payment method, giving no context for usage decisions.

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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