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

Annotations already declare a safe read-only, closed-world operation, so the description only needs to add content-level detail — it does note that a citation accompanies the tip and that the output is either a tip or an inspiration card. It omits what happens when a topic matches nothing and never mentions that up to five items can be requested at once.

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?

Three compact sentences, front-loaded with what the tool returns before the usage context and the optional filter. Minor redundancy between 'research-backed' and 'evidence-based' insight, but nothing is wasted.

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 three-parameter, no-output-schema tool this is adequate but incomplete: the return shape (tip + citation, inspiration card) is partially conveyed, yet the count parameter, multi-result behavior, and no-match fallback are unaddressed, leaving gaps an agent would hit in practice.

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 coverage is only 33%: topic is documented in the schema, kind has an undescribed enum, and count has bounds but no explanation. The description covers topic (as optional) and implicitly covers kind via 'or an Inspiration card', but leaves count entirely unexplained.

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 names the resource precisely — a research-backed Brain Based Tip with citation, or an Inspiration card — which is concrete enough for an agent to know what comes back. It does not explicitly contrast with siblings like browse_library, get_today_feed, or suggest_reset, so differentiation relies on 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?

It states a clear triggering context: the user is curious why they feel a certain way or wants a quick evidence-based insight about stress, sleep, focus, motivation or mood. No exclusion or named alternative is given, so an agent must decide on its own when browse_library or suggest_reset would be better.

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