quote_random

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint and destructiveHint=false, so the safety profile is fully covered without the description. The description adds nothing on top: it does not say whether each call returns a fresh quote, whether the quote set is finite, or what happens if no quote matches a tag. Slight tension with idempotentHint=true given the tool is explicitly random, which is worth clarifying but is not a hard contradiction.

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 short, front-loaded sentence with zero padding — but it is terse to the point of under-specification given the crowded quote-tool namespace. Nothing is wasted; there is simply too little there.

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 zero-required-param, no-output-schema tool the bar is low, but the description still leaves out the tags filtering behavior and any signal distinguishing it from the ~10 other random/personalized quote tools in the sibling set. An agent could call it correctly, but could easily call the wrong quote tool.

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 100% and the single optional `tags` parameter is fully documented in the schema with an example, so the baseline is 3. The description neither reinforces nor explains it, and 'inspirational' arguably narrows the impression of what tags can select, but it does not misstate the parameter.

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 states a specific verb and resource ('Get a random inspirational quote'), so the agent knows exactly what it returns. It does not differentiate from the many sibling random-quote tools (zen_quote_random, dummyjson_random_quote, kanye_quote, advice_random) or from quote_search / quote_by_author in the same family, leaving the choice to inference.

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?

There is no when-to-use guidance, no exclusion against similarly named siblings, and no statement of when a filtered or searched quote (quote_search, quote_by_author) is the better pick. The agent must infer the routing decision from the tool name alone.

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