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

No annotations are provided, so the description carries the burden of behavioral disclosure. It does mention the types of images returned (universal, culture-specific, age-specific), which is useful context. However, it does not disclose potential error behavior, output format, or whether the operation is read-only (though 'Get' implies it), leaving some gaps for a completely self-contained description.

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?

The description is a single, front-loaded sentence with no redundant wording. It earns its place by conveying the tool's scope and output categories efficiently.

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 simple tool with one parameter and no output schema, the description provides a clear purpose and scope. It could be improved by mentioning what the returned image data looks like (e.g., URLs, objects), but it is sufficiently complete for most use cases.

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?

The input schema already describes the sole parameter 'word' as 'Word to get images for', and the description adds no additional semantic detail beyond that. Since schema_description_coverage is 100%, the baseline of 3 applies.

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?

The description uses a specific verb ('Get') and clearly identifies the resource ('images for a word'), including the scope ('all available... universal, culture-specific, and age-specific variants'). This clearly distinguishes it from sibling tools like define_term or lookup_word, which focus on definitions or general word data.

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?

The description implies usage when you need images associated with a word, but it does not explicitly state when to prefer this over alternatives (e.g., lookup_word for definitions). No exclusions or alternatives are mentioned, but the tool's purpose is evident from the name and description.

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