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

Annotations already declare readOnlyHint=true, destructiveHint=false, openWorldHint=false, so the safety and scope profile is covered structurally. The description adds the empty-query browse behavior and the "public" corpus qualifier, but says nothing about result ordering, pagination, or rate limits.

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?

Two tight sentences: the purpose and facet list come first, with the empty-query behavior appended. No filler, no restated title, nothing to trim.

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?

An output schema exists, so return values need not be explained. The description covers the faceting model adequately, though it omits sort semantics (latest vs importance vs popularity) and the result-count cap, which an agent would want when combining filters.

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 63%, so several parameters carry their own documentation. The description maps natural-language facets (keyword, time frame, topic, source, importance) onto parameters, but never mentions sort or limit, and adds no syntax detail beyond what the schema already states for since/until/topic/source.

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 (Search) plus resource (public AI breakthroughs) and enumerates the searchable facets. The singular sibling get_breakthrough is implicitly distinguished by the search/fetch naming, but the description never explicitly draws that line, so it stops short of 5.

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?

"An omitted or empty query lists matching items" gives one concrete usage nuance (browse-all mode), which is genuinely useful. However, there is no guidance on when to prefer this tool over get_breakthrough for a known item, nor any stated exclusions or prerequisites.

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