zen_quotes

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

Annotations already declare readOnly, idempotent, non-destructive, open-world behavior, so the safety profile is covered. The description adds useful context by disclosing the source and the batch size cap of 20, but does not say whether successive calls return fresh random quotes (consistent with idempotentHint) or what fields each quote contains.

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?

A single front-loaded sentence with zero filler; the return cap is appended where it is most useful and nothing is repeated from annotations or schema.

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 no-parameter fetch with full annotation coverage and no output schema, the description gives the essentials: source, content type, and batch size. It falls slightly short on return shape (per-quote fields, randomness across calls), though the absence of an output schema makes that a minor gap.

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 tool takes zero parameters, so the baseline is 4; there is nothing about parameters that the description needs to compensate for.

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 ('Get') and resource ('inspirational quotes from Zen Quotes') plus a concrete return quantity ('up to 20'), so the agent knows this is a batch quote fetch. It does not name or contrast with the near-identical siblings zen_quote_random and zen_quote_today, leaving the batch-vs-single distinction 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?

The phrase 'a batch of ... quotes' implicitly signals this tool for multi-quote needs rather than a single random quote, which hints at when to prefer it over zen_quote_random/zen_quote_today. However, no explicit when-to-use or when-not-to-use guidance or alternative routing is stated.

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