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

With no annotations provided, the description must carry the full burden of behavioral disclosure. It only says the tool 'locates' a hub, but does not explain what is returned (URL, title, list?), any pagination, authorizations, or error behavior. It adds no meaningful contextual detail beyond the action.

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?

The description is a single, concise sentence that packs essential information clearly. It is front-loaded with the verb and resource, with no wasted words.

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?

Given the low complexity (one parameter, no output schema, no annotations), the description provides a minimal viable level of completeness: it states what the tool does. However, the lack of return-value details and the inconsistency between the tool name (articles) and description (hub) leave gaps in pre-invocation understanding.

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?

The schema has 100% coverage on the 'topic' parameter, including examples of mental health topics. The description itself doesn't add extra parameter information beyond what the schema already states, so a baseline of 3 is appropriate.

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 uses a specific verb 'localiza' (locates) and a specific resource: the thematic hub of the clinical blog that best fits a mental health topic. It clearly distinguishes from sibling tools focused on assessment info, credentials, and services/prices.

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?

The description implies the tool is for finding a blog hub relevant to a mental health topic, but it does not explicitly state when to use this tool versus the siblings (e.g., for content discovery vs. factual info). Usage context is implied but not elaborated.

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