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

Annotations already declare readOnlyHint, idempotentHint and openWorldHint=false, so the safety profile is covered. The description adds the useful detail that retrieval is semantic rather than keyword-based and scoped to an internal article corpus, but says nothing about result count, ranking, or what a hit looks like.

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 naming the action, the corpus and the topic scope, with no filler. It is efficient, though it stops short of covering return behavior.

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 one-parameter semantic search with annotations covering safety, the definition is nearly sufficient, but with no output schema the description should say something about what comes back (article excerpts, links, scores) and any limits. That gap keeps it at minimum-viable rather than complete.

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?

Only one parameter exists and schema description coverage is 100%, with examples already given in the schema ('MCP', 'GEO', 'agentic commerce'). The description adds nothing about query construction, natural-language vs keyword phrasing, or length, so baseline 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?

States a specific verb ('busca semântica') and resource ('Super Artigos / Hubs de Conhecimento da Scrypta') plus the topical domain (GEO, MCP, Agentic Commerce). This clearly separates it from the sibling tools, which all deal with products, categories, clients or plans rather than articles.

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?

Usage is only implied by the topical scope: an agent can infer it should call this when the question concerns GEO, MCP or Agentic Commerce. There is no explicit when-to-use statement, no guidance on phrasing the query, and no mention of what to do when the topic falls outside these hubs.

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