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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is covered; the description adds that the corpus is the All4Clinic website and that a missing query returns the full answer set. It does not describe answer length or result shape, which is a minor gap given no output schema.

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 sentences, front-loaded with the topic list and followed by the two operational facts (empty query behavior, alternative tool). The first sentence is a long enumeration, but each topic helps an agent judge relevance, so it mostly earns its length.

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 single optional-parameter read tool with no output schema and a closed corpus, the description covers scope, fallback behavior and the sibling boundary. Only the answer format is left implicit, which is acceptable without an output schema.

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 100% and already gives keyword examples, so the baseline is 3; the description adds genuinely new meaning by stating the query accepts Portuguese or English keywords and that empty means return all. That bilingual detail is what an agent needs to choose the right search terms.

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 and resource ('answers ... questions a clinic asks before buying') and enumerates the covered topics: LGPD, permissions/audit, multi-unit, apps, signature, payments, AI scope, migration, support. It is clearly distinct from search_help, which it names as the sibling for in-product how-to content.

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?

Gives an explicit usage boundary: pre-purchase/buyer questions go here, in-product how-to steps go to search_help. It also tells the agent that omitting the query returns everything, so the no-argument path is documented.

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