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

With no annotations, the description carries the full burden, and it does disclose one useful behavioral trait: results are ranked and come with definitions. It says nothing about error handling for invalid relation values, how wildcards affect ranking, or rate/cost limits. An output schema exists, so return shape is partly covered elsewhere.

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

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

One dense sentence with the core capability front-loaded before the relation list and the use cases. It is slightly run-on and comma-spliced, but nothing is redundant.

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

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

For a 4-parameter tool with zero schema coverage and no annotations, the description leaves two parameters entirely undefined and gives no exact relation vocabulary. The presence of an output schema excuses it from explaining return values, but the input side is materially under-specified.

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

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

Schema description coverage is 0%, so the description must compensate for all four parameters and largely does not. It gestures at the `relation` parameter through prose ('synonyms', 'words that mean something') without giving the accepted string values or noting the default of means_like, and it never mentions `topic` or `limit` at all. An agent must guess at the relation vocabulary, which is the crux of the call.

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

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

States a specific verb and resource (find words by relation) and enumerates the relation families it supports: synonyms, antonyms, rhymes, wildcard spelling patterns, adjectives. That is far more specific than a tautology. It stops short of differentiating itself from the sibling define_word, so an agent must still infer which one to reach for.

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

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

'Use for copywriting, naming, poetry and puzzles' gives concrete use contexts that let an agent recognize appropriate tasks. There are no exclusions or named alternatives, so it never tells the agent when NOT to use it or to prefer define_word for plain definitions.

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