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

No annotations are provided, so the description carries the full burden, and it does disclose the return shape (titles, summaries, URLs), which is useful. However, it says nothing about result ranking, pagination behavior (the offset param exists for that), or rate/auth constraints, leaving meaningful behavioral gaps for a search endpoint.

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 tight sentences with no filler: scope first, then use cases, then return format. Every sentence adds distinct information and the most decision-relevant content is front-loaded.

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 4-parameter search tool with no output schema, the description covers purpose, use cases, content scope, and return fields (titles, summaries, URLs), which is nearly everything an agent needs. Minor gaps remain around ranking and pagination guidance, but the schema fills the paging mechanics.

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%, with the type enum, limit range (1–20, default 8), query examples, and offset paging all documented in the schema itself. The description adds no parameter-level detail beyond noting the content types, so 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 names a specific verb (Search) and resource (KYMA369 educational content) and enumerates the corpora covered: blog posts, Frequency Healing News notes, and /healing condition guides. It implicitly differentiates from single-corpus siblings like list_frequency_news, list_healing_guides, and search_faq by presenting itself as the unified search, though it never names those alternatives outright.

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?

"Use for research, Lakhovsky/Rife history, PEMF science, or a wellness topic" gives concrete triggering contexts an agent can match against a user request. It stops short of stating when NOT to use it or pointing to the narrower sibling tools, so it sits at clear-context-without-exclusions rather than full routing guidance.

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