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

Annotations already cover the read-only, idempotent, non-destructive nature of the tool, lowering the bar. The description adds modest context by noting the data is 'current' and restricted to a 'closed catalog', but it does not explain edge cases, authorization, or how 'attributed views' are defined.

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 front-loaded sentence with no filler. It conveys the key information—current views, one topic, closed catalog, example values—efficiently.

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 simple one-parameter, read-only tool with an output schema and strong annotations, this description is largely complete. The only notable gap is leaving the term 'attributed views' unexplained, but the overall context is sufficient for correct invocation.

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 for the single 'slug' parameter is 0%, so the description must compensate. It does so by illustrating valid values ('gold, inflation, xlk') and clarifying that slugs refer to topics in a closed catalog, giving an agent enough to format the parameter correctly.

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 clearly identifies the verb-resource pair: retrieving current attributed views for one topic in a closed catalog, with concrete examples ('gold, inflation, xlk'). It is specific enough to understand the core function, though it does not explicitly distinguish itself from siblings like get_catalog or get_view.

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 this is for fetching views on a single topic slug, but it gives no guidance on when to choose this tool over siblings such as get_view, get_latest, or search. No alternatives or exclusion criteria are mentioned.

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